challenges in improving the performance of eddy current
TRANSCRIPT
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Original Paper
Measurement and Control1ndash19 The Author(s) 2018Article reuse guidelinessagepubcomjournals-permissionsDOI 1011770020294018801382journalssagepubcomhomemac
Challenges in improving theperformance of eddy current testingReview
Ahmed N AbdAlla1 Moneer A Faraj2 Fahmi Samsuri2Damhuji Rifai3 Kharudin Ali3 and Y Al-Douri4
AbstractEddy current testing plays an important role in numerous industries particularly in material coating nuclear and oil andgas However the eddy current testing technique still needs to focus on the details of probe structure and its applicationThis paper presents an overview of eddy current testing technique and the probe structure design factors that affect theaccuracy of crack detection The first part focuses on the development of different types of eddy current testing probesand their advantages and disadvantages A review of previous studies that examined testing samples eddy current testingprobe structures and a review of factors contributing to eddy current signals is also presented The second part mainlycomprised an in-depth discussion of the lift-off effect with particular consideration of ensuring that defects are correctlymeasured and the eddy current testing probes are optimized Finally a comprehensive review of previous studies on theapplication of intelligent eddy current testing crack detection in non destructive eddy current testing is presented
KeywordsEddy current testing non destructive testing lift-off defect detection
Date received 13 May 2018 accepted 22 August 2018
Introduction
Pipelines are regarded as a preferable way of transport-ing oil refined oil products or natural gas in large quan-tities over land The network of pipes has advantagesover other means of transportation (such as traintruck)because of its high cost12 Thus it is essential to con-tinuously check the conditions of the pipeline on a regu-lar basis
The eddy current testing (ECT) method has longbeen utilized for nondestructive testing (NDT)3 andwidely applied to inspect conductive material structurein order to identify their structural integrity Bettaet al4 suggested that coils be used to detect the mag-netic field (MF) as the primary indicator of a crack inthe pipeline However this method is limited due topoor sensitivity at low frequency for the inspection ofthe subsurface defect and thickness of materialsdemands sensitivity at low frequency To overcome thepoor-sensitivity limitation of the traditional eddy cur-rent probe NDT technology has the advantage ofemploying magnetometer (MR) sensors to obtain maxi-mum information from the component being tested5
Many types of research have introduced many struc-tures of ECT for the purpose of material inspection Leeet al6 proposed that the bobbin coil is used to induce the
eddy current in small piping and the MF can be pickedup by utilizing a Hall sensor array This technique allowsthe distribution of the distorted electromagnetic (EM) fieldaround outside diameter of the stress corrosion crackingso it can be imaged without the need for a rotating appa-ratus In another study Postolache et al7 proposed tworectangular planar excitation coils and an array of fiveAA002 giant magneto resistive (GMR) sensors for defectdetection of an aluminum plate They found that the opti-mization of the ECT probe had enhanced the ability ofinspection with rapid scanning time
Ye et al8 used a pair of orthogonal (axial and cir-cumferential) coils to generate an eddy current in steam
1Faculty of Electronic and Information Engineering Huaiyin Institute of
Technology Huairsquoan China2Faculty of Electrical amp Electronics Engineering University Malaysia
Pahang Pekan Malaysia3Faculty of Electrical amp Automation Engineering Technology TATI
University College Kemaman Malaysia4Nanotechnology and Catalysis Research Center (NANOCAT)
University of Malaya 50603 Kuala Lumpur Malaysia
Corresponding author
Ahmed N AbdAlla Faculty of Electronic and Information Engineering
Huaiyin Institute of Technology Huairsquoan 223002 China
Email dramaidecngmailcom
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generator tube wall and a GMR array to detect theinduced MF The probe showed superior inspectionaccuracy and sensitivity to defects of the axial and cir-cumferential directions Zeng et al9 suggested a multi-line as an excitation coil while a GMR sensor could beplaced on the line of symmetry to detect any changes inthe MF The simulation result shows improvement inthe detection sensitivity for multilayer subsurface flaws
Rifai et al10 also described the application of GMRsensors in ECT Also discussed in detail were the limita-tion of utilizing the coil as a sensor and compensationtechniques that have been used in the ECT In anotherstudy Ali et al11 discussed in detail the method of theECT and the parameters that impacted the signal fun-damental in relation to the hardware and softwareGarcıa-Martın et al12 delibertated an overview of theprimary variables and the principles of ECT sensors
Therefore the structure of the ECT probe should beidentified to provide and evaluate the tested materialswithout destroying them13 This paper will review theeddy current probe structure and error compensation ofthe eddy current probes to obtain the ideal measuringdepth of defect on carbon steel pipeline The lift-off effectwill be discussed in detail to ensure that the measuringdefect is right This study will also introduce differentconventional and intelligently lift-off compensations
The principle of ECT
The diagram illustrating the operation principle of theECT is shown in Figure 1 According to Faradayrsquos lawthe driving coil is excited to produce a MF known aseddy currents14ndash16 The emf induced in the receivingcoils are generated by the eddy currents
Four steps can demonstrate the MF connectionbetween the primary and secondary coils
Alternating current through the coil produced bythe principal MF
Alternating primary MF produces the EC in theconductive sample
EC produces a secondary MF in an opposingdirection
Flaws in the sample perturb the EC and decreasethe secondary MF which results in the variation ofimpedance changes of the coil
The advantages of ECT include the fact that theyare economical and environmentally friendly as a non-contact method with high detectability inspectionspeeds and offers good discrimination On the otherhand the main disadvantages are it is sensitive todefects near the surface and is only applicable to con-ductive materials1217
Eddy current probe
Various configurations are presented for the excitationsource and detection sensor However in many in-service applications the inductive coils are utilized bothas a field source and field sensors As a result the eddycurrent probes are commonly classified according totheir configuration and mode of operation The probeconfiguration is closely related to the way the coil orcoilsrsquo connection covers the testing area of interest Theprobe operation mode is commonly classified intoreflection differential absolute and hybrid modeswhereas some of the standard configurations includethe outside diameter probes inside diameter (bobbin)probes bolt hole probes and surface probes18
An inductive probe can include one or more coils Inconventional eddy current probes these coils typicallycomprise lengths of wire wound in a helical manner likea solenoid The winding will commonly have more thanone layer to increase the value of inductance As men-tioned above there are many ways in which these coilscan be constructed based on the specified applicationConventional ECTs are transmitndashreceive probes multi-pancake andor rotating pancake probes and bobbinprobes Each method has its respective strengths andweaknesses in consideration of their characteristics suchas the test speed flaw detection sensitivity and probestructure complexity19
Bobbin probes
Figure 2 shows the two types of the bobbin probeswhich are called the differential and absolute bobbinprobes Differential bobbin probe has two coils posi-tioned at 180 out of phase The probe has excellentsensitivity to detect abrupt anomalies and small defectssuch and relatively unaffected by lift-off pitting corro-sion fretting wear and probe wobble However theprobe is not sensitive to metallurgical and gradualchanges2021
Absolute bobbin consists of a single bobbin coil anda second identical reference coil The second identicalreference coil is used for EM shielding of the inspectedtubing and electronic balancing The probe has excel-lent sensitivity to detect axial cracks and is highly sensi-tive to material property variations and graduallyvarying wall thinning6 The main disadvantage of theabsolute coil is that the defect is typically superimposedover a lift-off as the large signal
Figure 1 Principle for the eddy current testing operation
2 Measurement and Control
Rotating probes
The rotating eddy current probes are used for high-resolution imaging of the steam generator tubes asshown in Figure 3822 The rotating probe is sensitive todefects of all orientations and has a high resolution andimproved sensitivity to characterize and size defectsHowever the mechanical rotation of the coils causesserious wear leading to frequent probe failure and affectthe inspection time and subsequently the cost willincrease significantly23
Array probe
The array probe types include the smart probe X-probe C-probes and intelligent probe The array probeworks as a transceiver probe and can cover the
direction of 360 The transmitting coils are activelydriven by the AC source with a different range of fre-quencies The receiving coils generate an induced vol-tage equal to the change of magnetic flux through thecoil The array probe response for different orientationdefects has a higher signal-to-noise ratio (SNR) and is10 times faster than the rotating probe Another disad-vantage is that the hand array probe is very costlybecause of its complicated excitation and data acquisi-tion parts2425 as shown in Figure 4
Rotating field probe with bobbin coil
Figure 5 shows the excitation part which consists ofthree coils with identical 120 axes degrees apart andbalanced alternating currents with adjustable fre-quency phase and amplitude The rotating MF is gen-erated without mechanical rotating support2126
Comparison of eddy current probes
The advantages and disadvantages of eddy currentprobes for the NDT as described in Table 130
EM NDT techniques
The EM methods of NDT comprise a full spectrum oftechniques ranging from static (DC) methods to high-frequency (10THz) methods The next section presentsthe most comprehensive inspection technique that usedin the EM NDT31
Figure 2 Tube inspection probes (a) absolute and (b) differential
Figure 3 Rotating probe
Figure 4 Array probe
AbdAlla et al 3
Pulsed eddy current
Pulsed excitation produces transient signals with a widerange of frequency components Hence it containsmore information compared to a single-frequency exci-tation3233 The pulsed eddy current (PEC) signals havecommon features in the transient characteristics suchas the peak amplitude time-to-peak amplitude andtime-to-zero crossing The peak amplitude will deter-mine the defect size The defect depth or material thick-ness will be identified by the peak amplitude34ndash36 Theearliest study of PEC for crack detection in layeredstructures with installed fasteners was conducted byHarrison3738 Giguere et al39 also studied the detectionof cracks beneath rivet heads using the transient ECtechniques Figure 6 shows some experimental resultsof PEC to test multilayer sample33
ECT with MF measurement method
The most recent research introduced the GMR sensorIt is widely used in many applications because the sensi-tivity of these sensors is independent of the MF it hasa high bandwidth only requires a low power supplythe dimensions of GMR are small and the output signalis high compared to the other MR sensors Thereforethe GMR-based EC testing exhibits significant advan-tages in detecting complex geometry such as a layeredcomponent inspection40 The directional property ofthe GMR sensor had been used to locate edge cracks in
aluminum specimen4041 A needle-type GMR imagingtechnique named the SV-GMR system was designedfor the inspection of a bare polychlorinated biphenylstructure to measure the magnetic fluid density in a liv-ing body1042
High-resolution GMR elements are fabricated in asmall package of sensors arrays An inspiring applica-tion of this array probe was found in the evaluation ofmetal medical implants for invisible cracks43 A lineararray of 20 GMR elements was packaged to image ahole defect in a steel plate using 1Hz excitationDesigns of GMR array probes in identical elementshad been studied to detect subsurface cracks44 High-density GMR arrays were especially promising forrapid scanning of a large area as well as high-resolutionimaging745 Another type of GMR array sensors thatuse two-directional elements was investigated in the ECtesting to detect surface cracks of unknown orientationThey measure both X-component and Y-component ofthe MF at the same point5 A fast Fourier transforma-tion to enhance the ECT probe based on the GMRarray sensors for pipe inspection was utilized by Duet al46
The transient excitation of the coil probes with twoMR sensors or two Hall sensors in differential modehave been studied by Lebrun et al4748 and used forcharacterizing crack parameters Kim et al49 intro-duced a method for the assessment of aircraft struc-tures The system produced pulse excitation thatenergized a planar multi-line coil The GMR field sen-sor was used to detect the transient field Tai et al50
studied similar transient features for an inversionscheme to qualify the conductivity and thickness of thesamples Table 2 shows the difference between the eddy
Table 1 ECT probes for tube or pipe assessment inspection
Types Advantages Disadvantage
Bobbin probe618 Rapidly inspects speed determine defect depth andlength lower price higher dependability andtoughness and sensitive to axial flaws
one dimension scan data and insensitive tocircumferential defect
Rotating probe21 Depth C-scan visualization for inner tube surfacesensitivity to the flow of all orientations and higherSNR
Low dependability and toughness costly andinspection speed is slow
Array probe2728 Sensitivity to flaws in all directions inspection speedis fast and size defect with the depth and length ofthe C-scan visualization for inner tube surface
Very expensive with complex instrumentation
Rotating field probe829 Sensitive to defects of all directions no needrotating probe mechanically high inspection speed
Need field test approve
SNR signal-to-noise ratio
Figure 5 3D model of rotating field probe with bobbin coil
Figure 6 PEC to test multilayer sample33
4 Measurement and Control
Table 2 Overviews of the utilities AC signal in eddy current testing with different probe designs
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
DrsquoAngelo et al51 Multilayerperceptronneural network(NN)
Aluminum alloy(2024 T3)
Coil with aparallelepipedshape
GMR sensor Mechanical rotation ofEC probes around walltube is needed toinspect the inside pipe
Zhang et al52 Finite elementmethod (FEM)
Conductive plate Rectangularexcitation coil
Cylindrical pickupcoil
The analytical resultsagree with FEM resultsand the forwardmodel of quantitativedetection for ECTofmultilayer conductivestructure
Postolache et al53 ANNmultilayerperceptronfinite elementsimulation
Aluminum plate ECP1 has apancake type (largediameter and smallheight) and ECP2has a smalldiameter and longlength
The GMR sensor inboth cases
Implementation of theNN classificationmethod improves thedependability of defectclassification
Zeng et al9 Three-dimensionalfinite elementmesh
Aluminum andsteel fasteners
A multi-line coil GMR sensorlocated on the lineof symmetry
Simulation resultsestablish that theproposed methodimproved thesensitivity of themethod in detectionof multilayersubsurface flaws
Yang et al54 Finite elementsimulationimage fusiontechnique
Steel fastener Planar multi-linecoil
GMR sensorinstalled on the lineof symmetry
Eliminate the difficultyof detecting cracksunder steel fastenersby using thecharacteristics oftangential componentsBy and Bx of theinduced magnetic field
Yang et al55 FEM Aluminum andsteel rivets
Two unidirectionalplanar coilsoriented inorthogonaldirections
GMR sensor The experimental andsimulation outcomesindicate that themethod can detect allorientations of a flawunder the fastener
Kim and Lee56 Experimental Inconel 690 tubes Multiple coils withthree deferentangle
Multiple coils withthree deferentangle
The experimentalresults prove that thesuggested probes aremore sensitive tocircumferential defectsand sensitive to axialdefects by employingboth the new probesand the conventionalbobbin
Ye et al8 C-scan imageFEM
An Inconel 690steam generatortube
Pair of orthogonal(axial andcircumferential)coils
A circumferentialarray of 16 GMRsensors
The probe has highinspection speed andsensitivity to defectsof the axial andcircumferentialdirections However ithas very complicatedexcitation and dataacquisition system
Paw et al57 Design ofexperimentsoftware
Carbon steel pipe Encircling coil for adifferential probe(ECDP) andencircling coil foran absolute probe(ECAP)
Encircling coil for adifferential probe(ECDP) andencircling coil foran absolute probe(ECAP)
The probe cannotdetect the transversedefect
(Continued)
AbdAlla et al 5
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Shim et al58 The primarysimulated waterof a pressurizedwater reactor
Alloy 690 steamgenerator tubes
A conventionalbobbin coil probeand a conventional3-coil motorizedrotating probe
A conventionalbobbin coil probeand 3-coilmotorized rotatingprobe
The general corrosionrates of alloy withdifferent 690TT tubenoises can bepredicted from thetube noise valuemeasured by arotating pancake coilprobe
Ribeiro et al59 A conformaltransformation
Aluminum plate A rectangular crosscoil
GMR sensor The conformaltransformation usedto model the crack ofan aluminum plate topreview the acquiredvoltage signals
Yin and Xu60 Peakfrequencies ofthe sensorsignal have beenutilized tocalculate thethickness of theplate
Aluminum plates Triple-coil sensormeasurements aremade by excitingthe middle coil
Triple-coil sensormeasurements aremade by takinginduced voltagesfrom the bottomand the top coils
The results show thatthe technique is highlyimmune to lift-offvariations
Lee et al6 FEM Piping of titaniumalloy
The bobbin coil State Hall sensorarray
This technique allowsthe distribution of thedistorted EM fieldaround outsidediameter stresscorrosion cracking tobe imaged without theneed of a rotatingapparatus
Joubert et al61 C-scan images Bore hole Bobbin coil The row of pickupcoils of the sensingarray
The acquiredexperimental resultsshowed a greatsensing capability ofthe designed probe inthe 10ndash800 kHzfrequency range
Menezes et al62 Numericalsimulation FEM
Aluminum plate Pancake coil GMR sensor and apermanent magnetto put the sensorworking in itslinear range
The magnetic fluxdensity is closelycorrelated with thecrackrsquos depths wheremaximum amplitudedisturbance dependson the crack depth
Xie et al63 FEMthe NCSFalgorithm
A plate of 7075aluminum alloy
A large uniformcoil is designed onthe bottom andtop layers
64 sensing coilelements on twomiddle layers
All of the results showthat the array is notjust sensitive to microcracks howeveradditionally able tocrack length size
Suresh et al64 ANSYS-basedFEM
Ferro tube Bobbin coilcore ofiron
A hall sensor The efficiency of thesuggested bobbin coilis effective to inspectthe small diametertube
Ye et al65 FEM Two-layeraluminum
Two orthogonalcoils
Two linear arraysof GMR sensorsare located aboveand below theorthogonal coils
Experimental resultspresent that the probecan detect flawsregardless of theirorientation Thedifferential schemereduces the effect ofthe background fieldand improves SNR
(Continued)
6 Measurement and Control
current methods which rely on the sensor element thatutilities alternative current signal in ECT
Multi-frequency techniques
NDT widely uses multi-frequency techniques (MFTs)The MFT expanded the capabilities of using single-frequency testing which allows simultaneous tests
The multi-frequency process uses a composite signaland subtracts the undesirable signal12 The main unde-sirable signal caused by changes in the temperature var-iation material geometrical and probe lift-off69 MFTsare usually accomplished by combining the resultsobtained at different frequencies in the spatial domainLiu et al69 presented integrate two- (multi) frequencyinjection with dimensional spatial domain named as apyramid fusion method The SNR improved due toreduction in noise sources which demonstrated thepotential of signal enhancement via fusion method orraster scanning70 A two-dimensional (2D) surface pro-duced changes over of the impedance or impedance byraster scanning images12 Image processing techniquescan be applied to detect cracks using ECT Bartels andFisher71 proposed a multi-frequency eddy currentimage processing technique for the non destructivematerials evaluation SNR improvement up to 1100over traditional two-frequency techniques a sequenceof complex valued images generated from 2D ECT tomaximize the SNR The linear combination of theimages by Bartels and Fisher71
d x yeth THORN=X2Nf
i=1
cifi x yeth THORN
where Nf is the number of test frequencies and fi areextracted from the 2D images Results on experimentaldata demonstrate
Factors contributing to eddy currentsignals
The signal from an eddy current probe includes a col-lection of responses from defects sample geometry andprobe lift-off7273 Therefore it may be difficult to sepa-rate a single influence Adequate assessment of flaws orany other surface properties is likely when other factorsare understood7 The primary factors influencing theresponse of an eddy current probe are explained in thissection
Frequency
Eddy current response is strongly affected by the fre-quency chosen for the investigation This factor shouldbe appropriately selected by the operator based on thecrack detection sample such as lower frequencies forbulk characterization and higher frequencies for sur-face characterization
Many authors such as Ditchburn et al74 andThollon et al75 utilize this range and they suggestedthe range of 100Hzndash10MHz as standard inspection fre-quencies in ECT19 However a few authors such asOwston76 characterized high frequency at 25MHz forthin metallic coatings and detecting surface defects Inthe inspection of ferromagnetic materials low-frequency tests are applied to penetrate into the testspecimen and compensate for their high permeability
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Lee et al66 FEM The steel (SS400)plate
The two probesmeasure thecurrent and thevoltage todetermine the coilimpedance
A coil winding anda ferromagneticcore are used as asensing element
A low frequency hasbeen applied for deepinternal inspection of aferromagnetic material
Rifai et al67 FEM Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
An array of GMRsensors
It has verycomplicated excitationand data acquisitionsystem
Xin et al21 3D FEM Steam generatortubes
Three identicalwindings locatedon the samephysical axes 1201apart
The responsesignal can be pickedup by bobbin coil inthe center
The probe is sensitiveto flaws of allorientations in thetube wall and the linescan data enable rapidinspection rates
Abdalla et al68 Fuzzyinterferencesystem
Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
Hybrid absoluteand differentialprobe
The Mamdani-typefuzzy use to integratedabsolute anddifferential probe
GMR giant magneto resistive EC eddy current ECP eddy current probe ECT eddy current testing ANN artificial neural network NCSF
normalized crack signal fitting SNR signal-to-noise ratio
AbdAlla et al 7
Ramos et al77 have studied the detection of subsurfaceflaws relating to the characterization of depth profilesof the subsurface defects in aluminum plates78
However the high frequency applied for the inspectionof small discontinuities occured in the near-surface7980
Table 3 summarizes the impact of different frequencyvalues on the depth of penetration of severalmaterials81
Conductivity of test material
Electrical conductivity and the magnetic permeabilityof the test objects of the material depend on the micro-structure for example grain structure the presence ofa second phase work hardening and heat treatmentGreater conductivity of a material such as copper andaluminum will lead to greater flow of the eddy currentsand hence the probe coil resistance
In great conductive materials defects or cracks pro-duce a high signal as an impedance plane as illustratedin Figure 8 Furthermore the phase lag between thelift-off line and the defect is f1 f282 which is signifi-cant as indicated in Figure 7
However the penetration depth of highly conductivematerials at a fixed frequency is lower than in lowerconductive materials such as stainless steel and steelThe conductivity of the different materials can be mea-sured using the International Annealed CopperStandard (IACS) Table 4 summarizes the conductivityof common elements83
Magnetic permeability
ECT signals are significantly affected by ferromagneticmaterials due to the increase in flux produced by thesignificant relative permeability of certain materialssuch as stainless steel or carbon steel84 The permeabil-ity of material changes the coupling of the coil with theconductive specimen and subsequently affects the reac-tance of the coil Permeability has a significant effecton the ECT compared to conductivity where the crackdetection has no potential when permeability changesrandomly8586
Lift-off
ECT is strongly affected by the amount of lift-offwhich can be defined as the separation distancebetween the excitation coil surface and the conductingmaterial surface This distance changes the mutualinductance of the circuits as the lift-off increases theamplitude of the eddy current induces emf as the sec-ondary coil decreases which can result in the misinter-pretation of the signals as flaws At a significant lift-off no detectable emf will be induced in the secondarycoil due to the sample chosen818788 This effect is par-ticularly prominent when using sinusoidal excitationswhich lose sensitivity beyond 5mm89 Although it isnot required to have a zero lift-off it is imperative totry and maintain a consistent lift-off since the variationin coupling between probe and test piece will
Table 3 Typical depths of penetration
Metals 368 d
1 kHz 4 kHz 16 kHz 64 kHz 256 kHz
Copper 0082 0041 0021 0010 0005Uranium 0334 0167 0084 0042 0021Zirconium 0516 0258 0129 0065 00327075 T-6 0144 0072 0036 0018 0009Steel 0019 0009 00048 00024 000126061 T-6 0126 0063 0032 0016 0008Magnesium 0134 0067 0034 0017 0008
Figure 7 Lift-off curves and crack displacement at impedanceplane82
Table 4 Conductivity and resistivity of conductive materials
Material Conductivity ( IACS)
Copper 10000Gold 7000Aluminum 6061 4200Brass 2800Copper-nickel 90ndash10 910Cast steel 1070Inconel 600 172Silver 10500Stainless steel 304 239Zircalloy-2 240
8 Measurement and Control
significantly affect the received signal Table 5 lists pre-vious studies that have considered the lift-off issue
Figure 8 illustrates the offset position of the tubeinside the bobbin coils Lift-off is explained using a coilwhose axis is normal to the test piece However lift-offalso occur when the test is conducted using encirclingor bobbin probes The vibration of the rod or the tubeinside the probe generates noise which presents difficul-ties when inspections are conducted117
There are methods for lift-off compensation whenthe eddy currents are used in order to detect cracks andlift-off becomes an undesired variable For instanceYin et al100 researched dual excitation frequencies andcoil design to minimize the lift-off effect Researchabout processing the data was also conducted to mini-mize the lift-off effect Lopez et al118 proposed the useof wavelets to remove the eddy current probe wobblenoise from the steam generatorrsquos tubes Reduction inthe lift-off effect was also attempted by optimizing thecoil design and sensor array119
Tian et al101 had researched the reduction of lift-offeffects via normalization techniques The technique canbe applied to the measurement of metal thicknessbeneath the non-conductive coatings and to the mea-surement of microstructure and strainstress where theoutput is highly sensitive to the lift-off effect Table 5illustrates previous studies that considered the lift-offissue
Optimization of ECT probes design
According to the state of the art the probability ofdetection techniques of eddy current techniques can beimproved by the optimizing the probe design In recentyears several studies have focused on optimization ofthe ECT probe design for defect detection Rochaet al120 proposed an ECT probe design based onvelocity-induced eddy currents to detect surface defectsCommercial simulation software was used for the opti-mization and design of the probe Their experimentalresults confirmed that the proposed probe design wasable to detect defects in the conductive materials where
motion is involved120 A biorthogonal rectangular probewas developed by Zhang et al52 Simulation resultsshowed the new biorthogonal rectangular probe has alesser effect on the lift-off with higher sensitivity detec-tion Meanwhile Cardoso et al121 optimized the sensorconfiguration in the eddy current probe design A finiteelement modeling simulation was used to measure theaccuracy detection of the probe design Comparison ofexperimental and simulation date proved the accuracyof the proposed probe Research by Rosado et al122
reported the influence of the geometrical parameters ofan eddy currents planar probe in ECT The findingsshowed that modifications of the studied parameterscould substantially improve the probe performance Ina different study Ghafari et al123 proposed a methodol-ogy for determining the optimal sensor parameters forECT probe design Simulation results showed the pro-posed sensor geometry improved the probe sensitivity todepth changes in a crack
Chen and Miya124 proposed ECT probes based onsimplified detectability analysis method and a ring cur-rent model The optimal probe designs are developed inview of the combinations of these excitation and pickupcoils by comparing their detectabilities evaluated withthe simplified analysis method Aldrin et al125 pre-sented a comprehensive approach to perform model-based inversion of crack characteristics using bolt holeeddy current techniques Signal processing algorithmswere developed for wide range of crack sizes andshapes including mid-bore corner and through thick-ness crack types Inversion results for select mid-borethrough and corner crack specimens are presentedwhere sizing performance was found to be satisfactoryin general but also depend on the size and location ofthe flaw Table 6 summarizes previous studies on theoptimization of the ECT probe design
Application of artificial intelligent in eddycurrent
GMR sensor is used in ECT to pick up the MF in thepresence of the defect As the mutual inductance
Figure 8 Wobble simulation a bobbin coil in an offset position to a tube87
AbdAlla et al 9
Table 5 Review of lift-off compensation techniques
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Fan et al90 Model-based inversionalgorithm
Air-core coil Sinusoidal signal Three plates ofcopper aluminumand stainless steel
Lift-off elimination formodel-based inversionmethod
Dziczkowskiet al91
Excrementalmathematical model
Coil Sine excitation atlow frequencies isapplied
Conductivematerial
To eliminate the lift-offbetween the coil and thespecimen under test
Lu et al92 Dodd and Deedsmethod
Coaxiallyarrangedcoils
Frequencysweeping
The metal plate Reducing the lift-off effecton permeabilitymeasurement formagnetic plates frommulti-frequency inductiondata
Ribeiroet al93
Lift-off correctionbased on the spatialspectral behavior ofeddy current
GMR The probeexcitation currentwas set to 100 mAat 5 kHz
A duralumin2024 T3 plate
Increase the signal-to-noise ratio ofmeasurements
Kral et al72 Linear transformermodel to investigatethe effect of the lift-off
GMR sensor Pulse signal Metallic plate Investigate the origin andthe characteristicsassociated with the lift-offpoint of intersection(LOI)
Wu et al94 Signal analysis base onmulti-frequency phasesignature
Coil Sinusoidal signalwith multi-frequency
Copper andaluminum plates
Presented a simple modelfor metal thicknessmeasurement that isunaffected by lift-off effectto obtain the thickness
Yin and Xu60 Using peak frequenciesof the sensor signal toestimate the thickness(h)
Bottom andtop coils
Swap frequency Aluminum plates Designed a triple-coilsensor operating as twocoil pairs and in a multi-frequency mode tomeasure plate thickness
Huang andWu95
Relative magnetic fluxchanging rate (s)
Coil Pulse signal and thesquare wave usedas excitationcurrent
Four 16Mn steelplates
Ferromagnetic objecttesting used to removethe lift-off effect withoutextra measurement ofreference signals
Yu et al96 Measure the defectdimension base onslope of the linearcurve of the peakvalue
Hall sensor Pulse signal 7075 and 2024aluminum alloyplates
Reduce the lift-off noisefor detection of defectdepth or width
Zhu et al97 Hough transform wasused
Coil Sinusoidal signal Annealing copperplate
Investigate the lift-offeffect in the normalizedimpedance plane
LopesRibeiroet al98
The theory of thelinear transformer
GMR Sinusoidalexcitation
Aluminum plates oftype AL3105-H12
Measurement of thethickness of a metallicnon-ferromagnetic plate
Tian andSophian99
Normalizationtechnique
Coil Pulse signal Two plates ofaluminum
Minimize lift-off impact Itcould be utilized formetal thicknessmeasurement and formicrostructure analysis
Yin et al100 Analytical model thatdescribes theinductance
Air-coredcoil
Multi-frequency Conducting plate The phase signature ofsuch a sensor is virtuallylift-off independent
Tian et al101 Analytical model basedon the extendedtruncated regioneigenfunctionexpansion
Hall sensor Pulse signal Plate conductorwith arbitrarynumber of layers
Analyze LOI with respectto different PECconfigurations and build
(Continued)
10 Measurement and Control
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wei et al102 U-shaped ACFMsystem
Coils The signalgenerator providesa 6 kHz sinevoltage waveformsignal
Mild steel sheetworkpiece with acrack Thelongitudinal
Determine an optimal lift-off value for a specific U-shaped ACFM system
Gotohet al103
The 3D edge-basedhexahedral nonlinearFEM
A transversetype Hallelement
The excitingfrequency is set to1 kHz
Nickel-coated steelplate
To inspect the thicknessof nickel-layer on steelplate without the impactof lift-off
LopesRibeiroet al98
A linear transformermodel
GMR sensor Sinusoidal signal Aluminum plates Measures the thickness ofmetallic
Gotohet al104
Electromagneticacoustic transducer
Transducercoil
A 250 kHzsinusoidal burstcurrent drives theEMAT coil
Steel plate Suitable lift-off value forthis specific EMAT systemshould be around 2 mm
Li et al105 The relative variationof magnetic flux (s)
Coil Pulse signal Metal plate Measurement of lift-off isextracted from themiddle part of the PECTsignal
Anganiet al17
Transient eddy currentoscillations
Hall sensor Pulses of the 50duty cycle with therepetition rate of2 s
Stainless steel plate Eliminate the falseindications due to the lift-off variations in thethickness measurement ofthe test material
Wanget al106
The slope of the lift-off curve (SLOC)feature of the eddycurrent sensor (ECS)
Sensor coil The workingfrequency (1 MHz)
Copper film Immunity to lift-offvariation
Wanget al107
Pulsed eddy current(PEC) responses
Hall sensor Pulse signal Nonmagnetic plate Study behaviors of lift-offpoint of intersectionpoints due to a plate withvarying conductivity andthickness
He et al108 Principal componentanalysis and supportvector machine
Coil The excitationpulse used 196 V100 Hz
Two 3003vAlndashMnalloy plate
Defect-automatedclassification
Aminehet al109
Blind deconvolutionalgorithm and awavelet networkinversion method
A tinyinductioncoil sensor
Alternating current Metal surface Lift-off evaluation andsurface crack signalrestoration
HoshikawaandKoyama110
Improvements inprobe design (h)
Tangentialcoil
Alternative current Brass plate To monitor the probe lift-off to avoid the probe notdetecting flaws in thematerial
Lu et al111 Multi-frequencyinductance spectraldata
Air-core coil Sinusoidal signal Metallic plates Proposed a new index tocompensate lift-offvariation linked to thethickness At different lift-offs the accuracy of thethickness measurementsproved to be more than98
Lu et al92112 Dodd and Deedsmethod
Air-core coil Sinusoidal signal Magnetic plates Proposed a new modifiedpermeabilitymeasurement techniquefor magnetic plates frommulti-frequency inductiondata The permeabilityerror caused by lift-offcan be reduced within75
(Continued)
AbdAlla et al 11
between the coil and the specimen is sensitive to thelift-off any changes in lift-off must be compensated forin order to achieve the accurate depth of defectmeasurements
The fuzzy logic is instrumental for enhancing lift-offcompensation Artificial intelligent used is in manytypes of research in ECT There are two common fuzzyinference methods Mamdanirsquos fuzzy inference methodand TakagindashSugenondashKang a method of fuzzy infer-ence The output from Mamdani fuzzy inference sys-tem (FIS) can be easily transformed into a linguisticform as the inference result before defuzzification135
The main difference between Mamdani-type FIS andSugeno-type FIS resides in the way the crisp output isgenerated from the fuzzy inputs136 While Mamdani-type FIS uses the technique of defuzzification of afuzzy output Sugeno-type FIS uses weighted averageto compute the crisp output137 so the Sugenorsquos output
membership functions are either linear or constant butMamdanirsquos inference expects the output membershipfunctions to be fuzzy sets which are appropriate forcomparing the peak of sensors Based on artificial intel-ligent technology a lot of research has been done bymany researchers about ECT as shown in Table 7
Conclusion
This paper introduces an overview of the eddy currentprobes structure and error compensation techniques toobtain an ideal measuring depth of defect for the mate-rial under test There are two techniques to sense thechange in MF air coil and magnetoresistance sensorAir coil is less sensitive at low frequency which requiredto inspect the surface of pipe and plate This particularpaper also reviews the manufacturer in the industry toproduce the commercial probes for practical tube
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wen et al113 Lift-off point ofintersection has beenapplied to determinethickness or evaluatedefects
Air-core coil PEC Metallic plates The effective signalfeature indicates that thefrequency and amplitudeat the LOI are decreasedwith sample thicknessincreasing In addition thefrequency LOI can beused to measure thesample thicknessfunctioning similarly totime domain LOI bymonitoring the frequencyand amplitude
Kral et al72 Linear transformermodel
Magnetoresistivesensor probe
Pulsed excitation No ferromagneticmetallic plates
The timederivative ofthe
magnetization curvesobtained for differentgaps between theexcitation coil and theplate was proposed
Yin et al114 Simplified modelrelated to thicknessconductivity and lift-offs
Air-core coil Sinusoidal signal Nonmagneticmetallic plate
Present the model withtwo independentparameters for a range ofthickness conductivityand lift-offs
Wei et al115 Design alternatingcurrent fieldmeasurement (ACFM)system
U-shapedprobe
Sinusoidal signal nonmagneticmetallic plate
Determine the optimum-induced frequency basedon the signal acquisitionand the measurementaccuracy of an ACFMsystem
Fan et al116 PEC spectral responseto serve as robustfeatures for thicknessevaluation
Hall sensor PEC Nonmagneticmetallic plate
Propose to apply thephase of PEC spectralresponse from a Hallsensor rather than pickupcoilndashbased probe tothickness measurementfor the elimination of lift-off effect
GMR giant magneto resistive ACFM alternating current filed measurement FEM finite element method PECT pulsed eddy current thermography
12 Measurement and Control
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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using rotating magnetic field eddy-current probe IEEE T
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tion of defects in aluminum plates using GMR probes
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field sensors based on giant magnetoresistance (GMR)
technology applications in electrical current sensing Sen-
sors 2009 9 7919ndash794243 Deng Y and Liu X Electromagnetic imaging methods for
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sensors for nondestructive evaluation In Proceedings
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lingham WA International Society for Optics and
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NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
of the sensors 2010 IEEE Kona HI 1ndash4 November
2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
signal analysis application to the experimental detection
and characterization of deep flaws in highly conductive
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application to the detection of deep cracks Mater Eval
1995 53 1296ndash130049 Kim J Yang G Udpa L et al Classification of pulsed
eddy current GMR data on aircraft structures NDTampE
Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
ductivity of metallic layers from pulsed eddy-current mea-
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rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
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(ICMA) Beijing China 2ndash5 August 2015 pp 1805ndash
1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
artificial neural networks Comp Stand Inter 2011 33
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54 Yang G Zeng Z Deng Y et al 3D EC-GMR sensor sys-
tem for detection of subsurface defects at steel fastener
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sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
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for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
tions IEEE T Instrum Meas 2016 65 164ndash16961 Joubert PY Vourcrsquoh E and Thomas V Experimental
validation of an eddy current probe dedicated to the
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Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
crack depth using eddy current techniques with GMR-
based probes In Proceedings of the metrology for aero-
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using a novel flexible eddy current sensor array Sensors
2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
Sensors 2017 17 E57968 Abdalla A Ali K Paw J et al A novel eddy current test-
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type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
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idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
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p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
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Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 2: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/2.jpg)
generator tube wall and a GMR array to detect theinduced MF The probe showed superior inspectionaccuracy and sensitivity to defects of the axial and cir-cumferential directions Zeng et al9 suggested a multi-line as an excitation coil while a GMR sensor could beplaced on the line of symmetry to detect any changes inthe MF The simulation result shows improvement inthe detection sensitivity for multilayer subsurface flaws
Rifai et al10 also described the application of GMRsensors in ECT Also discussed in detail were the limita-tion of utilizing the coil as a sensor and compensationtechniques that have been used in the ECT In anotherstudy Ali et al11 discussed in detail the method of theECT and the parameters that impacted the signal fun-damental in relation to the hardware and softwareGarcıa-Martın et al12 delibertated an overview of theprimary variables and the principles of ECT sensors
Therefore the structure of the ECT probe should beidentified to provide and evaluate the tested materialswithout destroying them13 This paper will review theeddy current probe structure and error compensation ofthe eddy current probes to obtain the ideal measuringdepth of defect on carbon steel pipeline The lift-off effectwill be discussed in detail to ensure that the measuringdefect is right This study will also introduce differentconventional and intelligently lift-off compensations
The principle of ECT
The diagram illustrating the operation principle of theECT is shown in Figure 1 According to Faradayrsquos lawthe driving coil is excited to produce a MF known aseddy currents14ndash16 The emf induced in the receivingcoils are generated by the eddy currents
Four steps can demonstrate the MF connectionbetween the primary and secondary coils
Alternating current through the coil produced bythe principal MF
Alternating primary MF produces the EC in theconductive sample
EC produces a secondary MF in an opposingdirection
Flaws in the sample perturb the EC and decreasethe secondary MF which results in the variation ofimpedance changes of the coil
The advantages of ECT include the fact that theyare economical and environmentally friendly as a non-contact method with high detectability inspectionspeeds and offers good discrimination On the otherhand the main disadvantages are it is sensitive todefects near the surface and is only applicable to con-ductive materials1217
Eddy current probe
Various configurations are presented for the excitationsource and detection sensor However in many in-service applications the inductive coils are utilized bothas a field source and field sensors As a result the eddycurrent probes are commonly classified according totheir configuration and mode of operation The probeconfiguration is closely related to the way the coil orcoilsrsquo connection covers the testing area of interest Theprobe operation mode is commonly classified intoreflection differential absolute and hybrid modeswhereas some of the standard configurations includethe outside diameter probes inside diameter (bobbin)probes bolt hole probes and surface probes18
An inductive probe can include one or more coils Inconventional eddy current probes these coils typicallycomprise lengths of wire wound in a helical manner likea solenoid The winding will commonly have more thanone layer to increase the value of inductance As men-tioned above there are many ways in which these coilscan be constructed based on the specified applicationConventional ECTs are transmitndashreceive probes multi-pancake andor rotating pancake probes and bobbinprobes Each method has its respective strengths andweaknesses in consideration of their characteristics suchas the test speed flaw detection sensitivity and probestructure complexity19
Bobbin probes
Figure 2 shows the two types of the bobbin probeswhich are called the differential and absolute bobbinprobes Differential bobbin probe has two coils posi-tioned at 180 out of phase The probe has excellentsensitivity to detect abrupt anomalies and small defectssuch and relatively unaffected by lift-off pitting corro-sion fretting wear and probe wobble However theprobe is not sensitive to metallurgical and gradualchanges2021
Absolute bobbin consists of a single bobbin coil anda second identical reference coil The second identicalreference coil is used for EM shielding of the inspectedtubing and electronic balancing The probe has excel-lent sensitivity to detect axial cracks and is highly sensi-tive to material property variations and graduallyvarying wall thinning6 The main disadvantage of theabsolute coil is that the defect is typically superimposedover a lift-off as the large signal
Figure 1 Principle for the eddy current testing operation
2 Measurement and Control
Rotating probes
The rotating eddy current probes are used for high-resolution imaging of the steam generator tubes asshown in Figure 3822 The rotating probe is sensitive todefects of all orientations and has a high resolution andimproved sensitivity to characterize and size defectsHowever the mechanical rotation of the coils causesserious wear leading to frequent probe failure and affectthe inspection time and subsequently the cost willincrease significantly23
Array probe
The array probe types include the smart probe X-probe C-probes and intelligent probe The array probeworks as a transceiver probe and can cover the
direction of 360 The transmitting coils are activelydriven by the AC source with a different range of fre-quencies The receiving coils generate an induced vol-tage equal to the change of magnetic flux through thecoil The array probe response for different orientationdefects has a higher signal-to-noise ratio (SNR) and is10 times faster than the rotating probe Another disad-vantage is that the hand array probe is very costlybecause of its complicated excitation and data acquisi-tion parts2425 as shown in Figure 4
Rotating field probe with bobbin coil
Figure 5 shows the excitation part which consists ofthree coils with identical 120 axes degrees apart andbalanced alternating currents with adjustable fre-quency phase and amplitude The rotating MF is gen-erated without mechanical rotating support2126
Comparison of eddy current probes
The advantages and disadvantages of eddy currentprobes for the NDT as described in Table 130
EM NDT techniques
The EM methods of NDT comprise a full spectrum oftechniques ranging from static (DC) methods to high-frequency (10THz) methods The next section presentsthe most comprehensive inspection technique that usedin the EM NDT31
Figure 2 Tube inspection probes (a) absolute and (b) differential
Figure 3 Rotating probe
Figure 4 Array probe
AbdAlla et al 3
Pulsed eddy current
Pulsed excitation produces transient signals with a widerange of frequency components Hence it containsmore information compared to a single-frequency exci-tation3233 The pulsed eddy current (PEC) signals havecommon features in the transient characteristics suchas the peak amplitude time-to-peak amplitude andtime-to-zero crossing The peak amplitude will deter-mine the defect size The defect depth or material thick-ness will be identified by the peak amplitude34ndash36 Theearliest study of PEC for crack detection in layeredstructures with installed fasteners was conducted byHarrison3738 Giguere et al39 also studied the detectionof cracks beneath rivet heads using the transient ECtechniques Figure 6 shows some experimental resultsof PEC to test multilayer sample33
ECT with MF measurement method
The most recent research introduced the GMR sensorIt is widely used in many applications because the sensi-tivity of these sensors is independent of the MF it hasa high bandwidth only requires a low power supplythe dimensions of GMR are small and the output signalis high compared to the other MR sensors Thereforethe GMR-based EC testing exhibits significant advan-tages in detecting complex geometry such as a layeredcomponent inspection40 The directional property ofthe GMR sensor had been used to locate edge cracks in
aluminum specimen4041 A needle-type GMR imagingtechnique named the SV-GMR system was designedfor the inspection of a bare polychlorinated biphenylstructure to measure the magnetic fluid density in a liv-ing body1042
High-resolution GMR elements are fabricated in asmall package of sensors arrays An inspiring applica-tion of this array probe was found in the evaluation ofmetal medical implants for invisible cracks43 A lineararray of 20 GMR elements was packaged to image ahole defect in a steel plate using 1Hz excitationDesigns of GMR array probes in identical elementshad been studied to detect subsurface cracks44 High-density GMR arrays were especially promising forrapid scanning of a large area as well as high-resolutionimaging745 Another type of GMR array sensors thatuse two-directional elements was investigated in the ECtesting to detect surface cracks of unknown orientationThey measure both X-component and Y-component ofthe MF at the same point5 A fast Fourier transforma-tion to enhance the ECT probe based on the GMRarray sensors for pipe inspection was utilized by Duet al46
The transient excitation of the coil probes with twoMR sensors or two Hall sensors in differential modehave been studied by Lebrun et al4748 and used forcharacterizing crack parameters Kim et al49 intro-duced a method for the assessment of aircraft struc-tures The system produced pulse excitation thatenergized a planar multi-line coil The GMR field sen-sor was used to detect the transient field Tai et al50
studied similar transient features for an inversionscheme to qualify the conductivity and thickness of thesamples Table 2 shows the difference between the eddy
Table 1 ECT probes for tube or pipe assessment inspection
Types Advantages Disadvantage
Bobbin probe618 Rapidly inspects speed determine defect depth andlength lower price higher dependability andtoughness and sensitive to axial flaws
one dimension scan data and insensitive tocircumferential defect
Rotating probe21 Depth C-scan visualization for inner tube surfacesensitivity to the flow of all orientations and higherSNR
Low dependability and toughness costly andinspection speed is slow
Array probe2728 Sensitivity to flaws in all directions inspection speedis fast and size defect with the depth and length ofthe C-scan visualization for inner tube surface
Very expensive with complex instrumentation
Rotating field probe829 Sensitive to defects of all directions no needrotating probe mechanically high inspection speed
Need field test approve
SNR signal-to-noise ratio
Figure 5 3D model of rotating field probe with bobbin coil
Figure 6 PEC to test multilayer sample33
4 Measurement and Control
Table 2 Overviews of the utilities AC signal in eddy current testing with different probe designs
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
DrsquoAngelo et al51 Multilayerperceptronneural network(NN)
Aluminum alloy(2024 T3)
Coil with aparallelepipedshape
GMR sensor Mechanical rotation ofEC probes around walltube is needed toinspect the inside pipe
Zhang et al52 Finite elementmethod (FEM)
Conductive plate Rectangularexcitation coil
Cylindrical pickupcoil
The analytical resultsagree with FEM resultsand the forwardmodel of quantitativedetection for ECTofmultilayer conductivestructure
Postolache et al53 ANNmultilayerperceptronfinite elementsimulation
Aluminum plate ECP1 has apancake type (largediameter and smallheight) and ECP2has a smalldiameter and longlength
The GMR sensor inboth cases
Implementation of theNN classificationmethod improves thedependability of defectclassification
Zeng et al9 Three-dimensionalfinite elementmesh
Aluminum andsteel fasteners
A multi-line coil GMR sensorlocated on the lineof symmetry
Simulation resultsestablish that theproposed methodimproved thesensitivity of themethod in detectionof multilayersubsurface flaws
Yang et al54 Finite elementsimulationimage fusiontechnique
Steel fastener Planar multi-linecoil
GMR sensorinstalled on the lineof symmetry
Eliminate the difficultyof detecting cracksunder steel fastenersby using thecharacteristics oftangential componentsBy and Bx of theinduced magnetic field
Yang et al55 FEM Aluminum andsteel rivets
Two unidirectionalplanar coilsoriented inorthogonaldirections
GMR sensor The experimental andsimulation outcomesindicate that themethod can detect allorientations of a flawunder the fastener
Kim and Lee56 Experimental Inconel 690 tubes Multiple coils withthree deferentangle
Multiple coils withthree deferentangle
The experimentalresults prove that thesuggested probes aremore sensitive tocircumferential defectsand sensitive to axialdefects by employingboth the new probesand the conventionalbobbin
Ye et al8 C-scan imageFEM
An Inconel 690steam generatortube
Pair of orthogonal(axial andcircumferential)coils
A circumferentialarray of 16 GMRsensors
The probe has highinspection speed andsensitivity to defectsof the axial andcircumferentialdirections However ithas very complicatedexcitation and dataacquisition system
Paw et al57 Design ofexperimentsoftware
Carbon steel pipe Encircling coil for adifferential probe(ECDP) andencircling coil foran absolute probe(ECAP)
Encircling coil for adifferential probe(ECDP) andencircling coil foran absolute probe(ECAP)
The probe cannotdetect the transversedefect
(Continued)
AbdAlla et al 5
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Shim et al58 The primarysimulated waterof a pressurizedwater reactor
Alloy 690 steamgenerator tubes
A conventionalbobbin coil probeand a conventional3-coil motorizedrotating probe
A conventionalbobbin coil probeand 3-coilmotorized rotatingprobe
The general corrosionrates of alloy withdifferent 690TT tubenoises can bepredicted from thetube noise valuemeasured by arotating pancake coilprobe
Ribeiro et al59 A conformaltransformation
Aluminum plate A rectangular crosscoil
GMR sensor The conformaltransformation usedto model the crack ofan aluminum plate topreview the acquiredvoltage signals
Yin and Xu60 Peakfrequencies ofthe sensorsignal have beenutilized tocalculate thethickness of theplate
Aluminum plates Triple-coil sensormeasurements aremade by excitingthe middle coil
Triple-coil sensormeasurements aremade by takinginduced voltagesfrom the bottomand the top coils
The results show thatthe technique is highlyimmune to lift-offvariations
Lee et al6 FEM Piping of titaniumalloy
The bobbin coil State Hall sensorarray
This technique allowsthe distribution of thedistorted EM fieldaround outsidediameter stresscorrosion cracking tobe imaged without theneed of a rotatingapparatus
Joubert et al61 C-scan images Bore hole Bobbin coil The row of pickupcoils of the sensingarray
The acquiredexperimental resultsshowed a greatsensing capability ofthe designed probe inthe 10ndash800 kHzfrequency range
Menezes et al62 Numericalsimulation FEM
Aluminum plate Pancake coil GMR sensor and apermanent magnetto put the sensorworking in itslinear range
The magnetic fluxdensity is closelycorrelated with thecrackrsquos depths wheremaximum amplitudedisturbance dependson the crack depth
Xie et al63 FEMthe NCSFalgorithm
A plate of 7075aluminum alloy
A large uniformcoil is designed onthe bottom andtop layers
64 sensing coilelements on twomiddle layers
All of the results showthat the array is notjust sensitive to microcracks howeveradditionally able tocrack length size
Suresh et al64 ANSYS-basedFEM
Ferro tube Bobbin coilcore ofiron
A hall sensor The efficiency of thesuggested bobbin coilis effective to inspectthe small diametertube
Ye et al65 FEM Two-layeraluminum
Two orthogonalcoils
Two linear arraysof GMR sensorsare located aboveand below theorthogonal coils
Experimental resultspresent that the probecan detect flawsregardless of theirorientation Thedifferential schemereduces the effect ofthe background fieldand improves SNR
(Continued)
6 Measurement and Control
current methods which rely on the sensor element thatutilities alternative current signal in ECT
Multi-frequency techniques
NDT widely uses multi-frequency techniques (MFTs)The MFT expanded the capabilities of using single-frequency testing which allows simultaneous tests
The multi-frequency process uses a composite signaland subtracts the undesirable signal12 The main unde-sirable signal caused by changes in the temperature var-iation material geometrical and probe lift-off69 MFTsare usually accomplished by combining the resultsobtained at different frequencies in the spatial domainLiu et al69 presented integrate two- (multi) frequencyinjection with dimensional spatial domain named as apyramid fusion method The SNR improved due toreduction in noise sources which demonstrated thepotential of signal enhancement via fusion method orraster scanning70 A two-dimensional (2D) surface pro-duced changes over of the impedance or impedance byraster scanning images12 Image processing techniquescan be applied to detect cracks using ECT Bartels andFisher71 proposed a multi-frequency eddy currentimage processing technique for the non destructivematerials evaluation SNR improvement up to 1100over traditional two-frequency techniques a sequenceof complex valued images generated from 2D ECT tomaximize the SNR The linear combination of theimages by Bartels and Fisher71
d x yeth THORN=X2Nf
i=1
cifi x yeth THORN
where Nf is the number of test frequencies and fi areextracted from the 2D images Results on experimentaldata demonstrate
Factors contributing to eddy currentsignals
The signal from an eddy current probe includes a col-lection of responses from defects sample geometry andprobe lift-off7273 Therefore it may be difficult to sepa-rate a single influence Adequate assessment of flaws orany other surface properties is likely when other factorsare understood7 The primary factors influencing theresponse of an eddy current probe are explained in thissection
Frequency
Eddy current response is strongly affected by the fre-quency chosen for the investigation This factor shouldbe appropriately selected by the operator based on thecrack detection sample such as lower frequencies forbulk characterization and higher frequencies for sur-face characterization
Many authors such as Ditchburn et al74 andThollon et al75 utilize this range and they suggestedthe range of 100Hzndash10MHz as standard inspection fre-quencies in ECT19 However a few authors such asOwston76 characterized high frequency at 25MHz forthin metallic coatings and detecting surface defects Inthe inspection of ferromagnetic materials low-frequency tests are applied to penetrate into the testspecimen and compensate for their high permeability
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Lee et al66 FEM The steel (SS400)plate
The two probesmeasure thecurrent and thevoltage todetermine the coilimpedance
A coil winding anda ferromagneticcore are used as asensing element
A low frequency hasbeen applied for deepinternal inspection of aferromagnetic material
Rifai et al67 FEM Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
An array of GMRsensors
It has verycomplicated excitationand data acquisitionsystem
Xin et al21 3D FEM Steam generatortubes
Three identicalwindings locatedon the samephysical axes 1201apart
The responsesignal can be pickedup by bobbin coil inthe center
The probe is sensitiveto flaws of allorientations in thetube wall and the linescan data enable rapidinspection rates
Abdalla et al68 Fuzzyinterferencesystem
Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
Hybrid absoluteand differentialprobe
The Mamdani-typefuzzy use to integratedabsolute anddifferential probe
GMR giant magneto resistive EC eddy current ECP eddy current probe ECT eddy current testing ANN artificial neural network NCSF
normalized crack signal fitting SNR signal-to-noise ratio
AbdAlla et al 7
Ramos et al77 have studied the detection of subsurfaceflaws relating to the characterization of depth profilesof the subsurface defects in aluminum plates78
However the high frequency applied for the inspectionof small discontinuities occured in the near-surface7980
Table 3 summarizes the impact of different frequencyvalues on the depth of penetration of severalmaterials81
Conductivity of test material
Electrical conductivity and the magnetic permeabilityof the test objects of the material depend on the micro-structure for example grain structure the presence ofa second phase work hardening and heat treatmentGreater conductivity of a material such as copper andaluminum will lead to greater flow of the eddy currentsand hence the probe coil resistance
In great conductive materials defects or cracks pro-duce a high signal as an impedance plane as illustratedin Figure 8 Furthermore the phase lag between thelift-off line and the defect is f1 f282 which is signifi-cant as indicated in Figure 7
However the penetration depth of highly conductivematerials at a fixed frequency is lower than in lowerconductive materials such as stainless steel and steelThe conductivity of the different materials can be mea-sured using the International Annealed CopperStandard (IACS) Table 4 summarizes the conductivityof common elements83
Magnetic permeability
ECT signals are significantly affected by ferromagneticmaterials due to the increase in flux produced by thesignificant relative permeability of certain materialssuch as stainless steel or carbon steel84 The permeabil-ity of material changes the coupling of the coil with theconductive specimen and subsequently affects the reac-tance of the coil Permeability has a significant effecton the ECT compared to conductivity where the crackdetection has no potential when permeability changesrandomly8586
Lift-off
ECT is strongly affected by the amount of lift-offwhich can be defined as the separation distancebetween the excitation coil surface and the conductingmaterial surface This distance changes the mutualinductance of the circuits as the lift-off increases theamplitude of the eddy current induces emf as the sec-ondary coil decreases which can result in the misinter-pretation of the signals as flaws At a significant lift-off no detectable emf will be induced in the secondarycoil due to the sample chosen818788 This effect is par-ticularly prominent when using sinusoidal excitationswhich lose sensitivity beyond 5mm89 Although it isnot required to have a zero lift-off it is imperative totry and maintain a consistent lift-off since the variationin coupling between probe and test piece will
Table 3 Typical depths of penetration
Metals 368 d
1 kHz 4 kHz 16 kHz 64 kHz 256 kHz
Copper 0082 0041 0021 0010 0005Uranium 0334 0167 0084 0042 0021Zirconium 0516 0258 0129 0065 00327075 T-6 0144 0072 0036 0018 0009Steel 0019 0009 00048 00024 000126061 T-6 0126 0063 0032 0016 0008Magnesium 0134 0067 0034 0017 0008
Figure 7 Lift-off curves and crack displacement at impedanceplane82
Table 4 Conductivity and resistivity of conductive materials
Material Conductivity ( IACS)
Copper 10000Gold 7000Aluminum 6061 4200Brass 2800Copper-nickel 90ndash10 910Cast steel 1070Inconel 600 172Silver 10500Stainless steel 304 239Zircalloy-2 240
8 Measurement and Control
significantly affect the received signal Table 5 lists pre-vious studies that have considered the lift-off issue
Figure 8 illustrates the offset position of the tubeinside the bobbin coils Lift-off is explained using a coilwhose axis is normal to the test piece However lift-offalso occur when the test is conducted using encirclingor bobbin probes The vibration of the rod or the tubeinside the probe generates noise which presents difficul-ties when inspections are conducted117
There are methods for lift-off compensation whenthe eddy currents are used in order to detect cracks andlift-off becomes an undesired variable For instanceYin et al100 researched dual excitation frequencies andcoil design to minimize the lift-off effect Researchabout processing the data was also conducted to mini-mize the lift-off effect Lopez et al118 proposed the useof wavelets to remove the eddy current probe wobblenoise from the steam generatorrsquos tubes Reduction inthe lift-off effect was also attempted by optimizing thecoil design and sensor array119
Tian et al101 had researched the reduction of lift-offeffects via normalization techniques The technique canbe applied to the measurement of metal thicknessbeneath the non-conductive coatings and to the mea-surement of microstructure and strainstress where theoutput is highly sensitive to the lift-off effect Table 5illustrates previous studies that considered the lift-offissue
Optimization of ECT probes design
According to the state of the art the probability ofdetection techniques of eddy current techniques can beimproved by the optimizing the probe design In recentyears several studies have focused on optimization ofthe ECT probe design for defect detection Rochaet al120 proposed an ECT probe design based onvelocity-induced eddy currents to detect surface defectsCommercial simulation software was used for the opti-mization and design of the probe Their experimentalresults confirmed that the proposed probe design wasable to detect defects in the conductive materials where
motion is involved120 A biorthogonal rectangular probewas developed by Zhang et al52 Simulation resultsshowed the new biorthogonal rectangular probe has alesser effect on the lift-off with higher sensitivity detec-tion Meanwhile Cardoso et al121 optimized the sensorconfiguration in the eddy current probe design A finiteelement modeling simulation was used to measure theaccuracy detection of the probe design Comparison ofexperimental and simulation date proved the accuracyof the proposed probe Research by Rosado et al122
reported the influence of the geometrical parameters ofan eddy currents planar probe in ECT The findingsshowed that modifications of the studied parameterscould substantially improve the probe performance Ina different study Ghafari et al123 proposed a methodol-ogy for determining the optimal sensor parameters forECT probe design Simulation results showed the pro-posed sensor geometry improved the probe sensitivity todepth changes in a crack
Chen and Miya124 proposed ECT probes based onsimplified detectability analysis method and a ring cur-rent model The optimal probe designs are developed inview of the combinations of these excitation and pickupcoils by comparing their detectabilities evaluated withthe simplified analysis method Aldrin et al125 pre-sented a comprehensive approach to perform model-based inversion of crack characteristics using bolt holeeddy current techniques Signal processing algorithmswere developed for wide range of crack sizes andshapes including mid-bore corner and through thick-ness crack types Inversion results for select mid-borethrough and corner crack specimens are presentedwhere sizing performance was found to be satisfactoryin general but also depend on the size and location ofthe flaw Table 6 summarizes previous studies on theoptimization of the ECT probe design
Application of artificial intelligent in eddycurrent
GMR sensor is used in ECT to pick up the MF in thepresence of the defect As the mutual inductance
Figure 8 Wobble simulation a bobbin coil in an offset position to a tube87
AbdAlla et al 9
Table 5 Review of lift-off compensation techniques
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Fan et al90 Model-based inversionalgorithm
Air-core coil Sinusoidal signal Three plates ofcopper aluminumand stainless steel
Lift-off elimination formodel-based inversionmethod
Dziczkowskiet al91
Excrementalmathematical model
Coil Sine excitation atlow frequencies isapplied
Conductivematerial
To eliminate the lift-offbetween the coil and thespecimen under test
Lu et al92 Dodd and Deedsmethod
Coaxiallyarrangedcoils
Frequencysweeping
The metal plate Reducing the lift-off effecton permeabilitymeasurement formagnetic plates frommulti-frequency inductiondata
Ribeiroet al93
Lift-off correctionbased on the spatialspectral behavior ofeddy current
GMR The probeexcitation currentwas set to 100 mAat 5 kHz
A duralumin2024 T3 plate
Increase the signal-to-noise ratio ofmeasurements
Kral et al72 Linear transformermodel to investigatethe effect of the lift-off
GMR sensor Pulse signal Metallic plate Investigate the origin andthe characteristicsassociated with the lift-offpoint of intersection(LOI)
Wu et al94 Signal analysis base onmulti-frequency phasesignature
Coil Sinusoidal signalwith multi-frequency
Copper andaluminum plates
Presented a simple modelfor metal thicknessmeasurement that isunaffected by lift-off effectto obtain the thickness
Yin and Xu60 Using peak frequenciesof the sensor signal toestimate the thickness(h)
Bottom andtop coils
Swap frequency Aluminum plates Designed a triple-coilsensor operating as twocoil pairs and in a multi-frequency mode tomeasure plate thickness
Huang andWu95
Relative magnetic fluxchanging rate (s)
Coil Pulse signal and thesquare wave usedas excitationcurrent
Four 16Mn steelplates
Ferromagnetic objecttesting used to removethe lift-off effect withoutextra measurement ofreference signals
Yu et al96 Measure the defectdimension base onslope of the linearcurve of the peakvalue
Hall sensor Pulse signal 7075 and 2024aluminum alloyplates
Reduce the lift-off noisefor detection of defectdepth or width
Zhu et al97 Hough transform wasused
Coil Sinusoidal signal Annealing copperplate
Investigate the lift-offeffect in the normalizedimpedance plane
LopesRibeiroet al98
The theory of thelinear transformer
GMR Sinusoidalexcitation
Aluminum plates oftype AL3105-H12
Measurement of thethickness of a metallicnon-ferromagnetic plate
Tian andSophian99
Normalizationtechnique
Coil Pulse signal Two plates ofaluminum
Minimize lift-off impact Itcould be utilized formetal thicknessmeasurement and formicrostructure analysis
Yin et al100 Analytical model thatdescribes theinductance
Air-coredcoil
Multi-frequency Conducting plate The phase signature ofsuch a sensor is virtuallylift-off independent
Tian et al101 Analytical model basedon the extendedtruncated regioneigenfunctionexpansion
Hall sensor Pulse signal Plate conductorwith arbitrarynumber of layers
Analyze LOI with respectto different PECconfigurations and build
(Continued)
10 Measurement and Control
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wei et al102 U-shaped ACFMsystem
Coils The signalgenerator providesa 6 kHz sinevoltage waveformsignal
Mild steel sheetworkpiece with acrack Thelongitudinal
Determine an optimal lift-off value for a specific U-shaped ACFM system
Gotohet al103
The 3D edge-basedhexahedral nonlinearFEM
A transversetype Hallelement
The excitingfrequency is set to1 kHz
Nickel-coated steelplate
To inspect the thicknessof nickel-layer on steelplate without the impactof lift-off
LopesRibeiroet al98
A linear transformermodel
GMR sensor Sinusoidal signal Aluminum plates Measures the thickness ofmetallic
Gotohet al104
Electromagneticacoustic transducer
Transducercoil
A 250 kHzsinusoidal burstcurrent drives theEMAT coil
Steel plate Suitable lift-off value forthis specific EMAT systemshould be around 2 mm
Li et al105 The relative variationof magnetic flux (s)
Coil Pulse signal Metal plate Measurement of lift-off isextracted from themiddle part of the PECTsignal
Anganiet al17
Transient eddy currentoscillations
Hall sensor Pulses of the 50duty cycle with therepetition rate of2 s
Stainless steel plate Eliminate the falseindications due to the lift-off variations in thethickness measurement ofthe test material
Wanget al106
The slope of the lift-off curve (SLOC)feature of the eddycurrent sensor (ECS)
Sensor coil The workingfrequency (1 MHz)
Copper film Immunity to lift-offvariation
Wanget al107
Pulsed eddy current(PEC) responses
Hall sensor Pulse signal Nonmagnetic plate Study behaviors of lift-offpoint of intersectionpoints due to a plate withvarying conductivity andthickness
He et al108 Principal componentanalysis and supportvector machine
Coil The excitationpulse used 196 V100 Hz
Two 3003vAlndashMnalloy plate
Defect-automatedclassification
Aminehet al109
Blind deconvolutionalgorithm and awavelet networkinversion method
A tinyinductioncoil sensor
Alternating current Metal surface Lift-off evaluation andsurface crack signalrestoration
HoshikawaandKoyama110
Improvements inprobe design (h)
Tangentialcoil
Alternative current Brass plate To monitor the probe lift-off to avoid the probe notdetecting flaws in thematerial
Lu et al111 Multi-frequencyinductance spectraldata
Air-core coil Sinusoidal signal Metallic plates Proposed a new index tocompensate lift-offvariation linked to thethickness At different lift-offs the accuracy of thethickness measurementsproved to be more than98
Lu et al92112 Dodd and Deedsmethod
Air-core coil Sinusoidal signal Magnetic plates Proposed a new modifiedpermeabilitymeasurement techniquefor magnetic plates frommulti-frequency inductiondata The permeabilityerror caused by lift-offcan be reduced within75
(Continued)
AbdAlla et al 11
between the coil and the specimen is sensitive to thelift-off any changes in lift-off must be compensated forin order to achieve the accurate depth of defectmeasurements
The fuzzy logic is instrumental for enhancing lift-offcompensation Artificial intelligent used is in manytypes of research in ECT There are two common fuzzyinference methods Mamdanirsquos fuzzy inference methodand TakagindashSugenondashKang a method of fuzzy infer-ence The output from Mamdani fuzzy inference sys-tem (FIS) can be easily transformed into a linguisticform as the inference result before defuzzification135
The main difference between Mamdani-type FIS andSugeno-type FIS resides in the way the crisp output isgenerated from the fuzzy inputs136 While Mamdani-type FIS uses the technique of defuzzification of afuzzy output Sugeno-type FIS uses weighted averageto compute the crisp output137 so the Sugenorsquos output
membership functions are either linear or constant butMamdanirsquos inference expects the output membershipfunctions to be fuzzy sets which are appropriate forcomparing the peak of sensors Based on artificial intel-ligent technology a lot of research has been done bymany researchers about ECT as shown in Table 7
Conclusion
This paper introduces an overview of the eddy currentprobes structure and error compensation techniques toobtain an ideal measuring depth of defect for the mate-rial under test There are two techniques to sense thechange in MF air coil and magnetoresistance sensorAir coil is less sensitive at low frequency which requiredto inspect the surface of pipe and plate This particularpaper also reviews the manufacturer in the industry toproduce the commercial probes for practical tube
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wen et al113 Lift-off point ofintersection has beenapplied to determinethickness or evaluatedefects
Air-core coil PEC Metallic plates The effective signalfeature indicates that thefrequency and amplitudeat the LOI are decreasedwith sample thicknessincreasing In addition thefrequency LOI can beused to measure thesample thicknessfunctioning similarly totime domain LOI bymonitoring the frequencyand amplitude
Kral et al72 Linear transformermodel
Magnetoresistivesensor probe
Pulsed excitation No ferromagneticmetallic plates
The timederivative ofthe
magnetization curvesobtained for differentgaps between theexcitation coil and theplate was proposed
Yin et al114 Simplified modelrelated to thicknessconductivity and lift-offs
Air-core coil Sinusoidal signal Nonmagneticmetallic plate
Present the model withtwo independentparameters for a range ofthickness conductivityand lift-offs
Wei et al115 Design alternatingcurrent fieldmeasurement (ACFM)system
U-shapedprobe
Sinusoidal signal nonmagneticmetallic plate
Determine the optimum-induced frequency basedon the signal acquisitionand the measurementaccuracy of an ACFMsystem
Fan et al116 PEC spectral responseto serve as robustfeatures for thicknessevaluation
Hall sensor PEC Nonmagneticmetallic plate
Propose to apply thephase of PEC spectralresponse from a Hallsensor rather than pickupcoilndashbased probe tothickness measurementfor the elimination of lift-off effect
GMR giant magneto resistive ACFM alternating current filed measurement FEM finite element method PECT pulsed eddy current thermography
12 Measurement and Control
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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tion of defects in aluminum plates using GMR probes
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field sensors based on giant magnetoresistance (GMR)
technology applications in electrical current sensing Sen-
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sensors for nondestructive evaluation In Proceedings
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lingham WA International Society for Optics and
Photonics45 Li W Yuan Xa Chen G et al A feed-through ACFM
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NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
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2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
signal analysis application to the experimental detection
and characterization of deep flaws in highly conductive
materials NDTampE Int 1997 30 163ndash17048 Lebrun B Jayet Y and Baboux JC Pulsed eddy current
application to the detection of deep cracks Mater Eval
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eddy current GMR data on aircraft structures NDTampE
Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
ductivity of metallic layers from pulsed eddy-current mea-
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rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
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1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
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54 Yang G Zeng Z Deng Y et al 3D EC-GMR sensor sys-
tem for detection of subsurface defects at steel fastener
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sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
current testing J Fund Appl Sci 2018 10 949ndash96458 Shim H-S Choi MS Lee DH et al A prediction method
for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
tions IEEE T Instrum Meas 2016 65 164ndash16961 Joubert PY Vourcrsquoh E and Thomas V Experimental
validation of an eddy current probe dedicated to the
multi-frequency imaging of bore holes Sensor Actuat A-
Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
crack depth using eddy current techniques with GMR-
based probes In Proceedings of the metrology for aero-
space (Metroaerospace) Benevento 4ndash5 June 2015 pp
335ndash339 New York IEEE63 Xie R Chen D Pan M et al Fatigue crack length sizing
using a novel flexible eddy current sensor array Sensors
2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
Sensors 2017 17 E57968 Abdalla A Ali K Paw J et al A novel eddy current test-
ing error compensation technique based on Mamdani-
type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
16 Measurement and Control
evaluation of their performances In Proceedings of the
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idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
image processing techniques for nondestructive evalua-
tion In Proceedings of the international conference on
image processing Washington DC 23ndash26 October 1995
p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
rent testing system In Proceedings of the international
conference on intelligent systems engineering (ICISE)
Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 3: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/3.jpg)
Rotating probes
The rotating eddy current probes are used for high-resolution imaging of the steam generator tubes asshown in Figure 3822 The rotating probe is sensitive todefects of all orientations and has a high resolution andimproved sensitivity to characterize and size defectsHowever the mechanical rotation of the coils causesserious wear leading to frequent probe failure and affectthe inspection time and subsequently the cost willincrease significantly23
Array probe
The array probe types include the smart probe X-probe C-probes and intelligent probe The array probeworks as a transceiver probe and can cover the
direction of 360 The transmitting coils are activelydriven by the AC source with a different range of fre-quencies The receiving coils generate an induced vol-tage equal to the change of magnetic flux through thecoil The array probe response for different orientationdefects has a higher signal-to-noise ratio (SNR) and is10 times faster than the rotating probe Another disad-vantage is that the hand array probe is very costlybecause of its complicated excitation and data acquisi-tion parts2425 as shown in Figure 4
Rotating field probe with bobbin coil
Figure 5 shows the excitation part which consists ofthree coils with identical 120 axes degrees apart andbalanced alternating currents with adjustable fre-quency phase and amplitude The rotating MF is gen-erated without mechanical rotating support2126
Comparison of eddy current probes
The advantages and disadvantages of eddy currentprobes for the NDT as described in Table 130
EM NDT techniques
The EM methods of NDT comprise a full spectrum oftechniques ranging from static (DC) methods to high-frequency (10THz) methods The next section presentsthe most comprehensive inspection technique that usedin the EM NDT31
Figure 2 Tube inspection probes (a) absolute and (b) differential
Figure 3 Rotating probe
Figure 4 Array probe
AbdAlla et al 3
Pulsed eddy current
Pulsed excitation produces transient signals with a widerange of frequency components Hence it containsmore information compared to a single-frequency exci-tation3233 The pulsed eddy current (PEC) signals havecommon features in the transient characteristics suchas the peak amplitude time-to-peak amplitude andtime-to-zero crossing The peak amplitude will deter-mine the defect size The defect depth or material thick-ness will be identified by the peak amplitude34ndash36 Theearliest study of PEC for crack detection in layeredstructures with installed fasteners was conducted byHarrison3738 Giguere et al39 also studied the detectionof cracks beneath rivet heads using the transient ECtechniques Figure 6 shows some experimental resultsof PEC to test multilayer sample33
ECT with MF measurement method
The most recent research introduced the GMR sensorIt is widely used in many applications because the sensi-tivity of these sensors is independent of the MF it hasa high bandwidth only requires a low power supplythe dimensions of GMR are small and the output signalis high compared to the other MR sensors Thereforethe GMR-based EC testing exhibits significant advan-tages in detecting complex geometry such as a layeredcomponent inspection40 The directional property ofthe GMR sensor had been used to locate edge cracks in
aluminum specimen4041 A needle-type GMR imagingtechnique named the SV-GMR system was designedfor the inspection of a bare polychlorinated biphenylstructure to measure the magnetic fluid density in a liv-ing body1042
High-resolution GMR elements are fabricated in asmall package of sensors arrays An inspiring applica-tion of this array probe was found in the evaluation ofmetal medical implants for invisible cracks43 A lineararray of 20 GMR elements was packaged to image ahole defect in a steel plate using 1Hz excitationDesigns of GMR array probes in identical elementshad been studied to detect subsurface cracks44 High-density GMR arrays were especially promising forrapid scanning of a large area as well as high-resolutionimaging745 Another type of GMR array sensors thatuse two-directional elements was investigated in the ECtesting to detect surface cracks of unknown orientationThey measure both X-component and Y-component ofthe MF at the same point5 A fast Fourier transforma-tion to enhance the ECT probe based on the GMRarray sensors for pipe inspection was utilized by Duet al46
The transient excitation of the coil probes with twoMR sensors or two Hall sensors in differential modehave been studied by Lebrun et al4748 and used forcharacterizing crack parameters Kim et al49 intro-duced a method for the assessment of aircraft struc-tures The system produced pulse excitation thatenergized a planar multi-line coil The GMR field sen-sor was used to detect the transient field Tai et al50
studied similar transient features for an inversionscheme to qualify the conductivity and thickness of thesamples Table 2 shows the difference between the eddy
Table 1 ECT probes for tube or pipe assessment inspection
Types Advantages Disadvantage
Bobbin probe618 Rapidly inspects speed determine defect depth andlength lower price higher dependability andtoughness and sensitive to axial flaws
one dimension scan data and insensitive tocircumferential defect
Rotating probe21 Depth C-scan visualization for inner tube surfacesensitivity to the flow of all orientations and higherSNR
Low dependability and toughness costly andinspection speed is slow
Array probe2728 Sensitivity to flaws in all directions inspection speedis fast and size defect with the depth and length ofthe C-scan visualization for inner tube surface
Very expensive with complex instrumentation
Rotating field probe829 Sensitive to defects of all directions no needrotating probe mechanically high inspection speed
Need field test approve
SNR signal-to-noise ratio
Figure 5 3D model of rotating field probe with bobbin coil
Figure 6 PEC to test multilayer sample33
4 Measurement and Control
Table 2 Overviews of the utilities AC signal in eddy current testing with different probe designs
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
DrsquoAngelo et al51 Multilayerperceptronneural network(NN)
Aluminum alloy(2024 T3)
Coil with aparallelepipedshape
GMR sensor Mechanical rotation ofEC probes around walltube is needed toinspect the inside pipe
Zhang et al52 Finite elementmethod (FEM)
Conductive plate Rectangularexcitation coil
Cylindrical pickupcoil
The analytical resultsagree with FEM resultsand the forwardmodel of quantitativedetection for ECTofmultilayer conductivestructure
Postolache et al53 ANNmultilayerperceptronfinite elementsimulation
Aluminum plate ECP1 has apancake type (largediameter and smallheight) and ECP2has a smalldiameter and longlength
The GMR sensor inboth cases
Implementation of theNN classificationmethod improves thedependability of defectclassification
Zeng et al9 Three-dimensionalfinite elementmesh
Aluminum andsteel fasteners
A multi-line coil GMR sensorlocated on the lineof symmetry
Simulation resultsestablish that theproposed methodimproved thesensitivity of themethod in detectionof multilayersubsurface flaws
Yang et al54 Finite elementsimulationimage fusiontechnique
Steel fastener Planar multi-linecoil
GMR sensorinstalled on the lineof symmetry
Eliminate the difficultyof detecting cracksunder steel fastenersby using thecharacteristics oftangential componentsBy and Bx of theinduced magnetic field
Yang et al55 FEM Aluminum andsteel rivets
Two unidirectionalplanar coilsoriented inorthogonaldirections
GMR sensor The experimental andsimulation outcomesindicate that themethod can detect allorientations of a flawunder the fastener
Kim and Lee56 Experimental Inconel 690 tubes Multiple coils withthree deferentangle
Multiple coils withthree deferentangle
The experimentalresults prove that thesuggested probes aremore sensitive tocircumferential defectsand sensitive to axialdefects by employingboth the new probesand the conventionalbobbin
Ye et al8 C-scan imageFEM
An Inconel 690steam generatortube
Pair of orthogonal(axial andcircumferential)coils
A circumferentialarray of 16 GMRsensors
The probe has highinspection speed andsensitivity to defectsof the axial andcircumferentialdirections However ithas very complicatedexcitation and dataacquisition system
Paw et al57 Design ofexperimentsoftware
Carbon steel pipe Encircling coil for adifferential probe(ECDP) andencircling coil foran absolute probe(ECAP)
Encircling coil for adifferential probe(ECDP) andencircling coil foran absolute probe(ECAP)
The probe cannotdetect the transversedefect
(Continued)
AbdAlla et al 5
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Shim et al58 The primarysimulated waterof a pressurizedwater reactor
Alloy 690 steamgenerator tubes
A conventionalbobbin coil probeand a conventional3-coil motorizedrotating probe
A conventionalbobbin coil probeand 3-coilmotorized rotatingprobe
The general corrosionrates of alloy withdifferent 690TT tubenoises can bepredicted from thetube noise valuemeasured by arotating pancake coilprobe
Ribeiro et al59 A conformaltransformation
Aluminum plate A rectangular crosscoil
GMR sensor The conformaltransformation usedto model the crack ofan aluminum plate topreview the acquiredvoltage signals
Yin and Xu60 Peakfrequencies ofthe sensorsignal have beenutilized tocalculate thethickness of theplate
Aluminum plates Triple-coil sensormeasurements aremade by excitingthe middle coil
Triple-coil sensormeasurements aremade by takinginduced voltagesfrom the bottomand the top coils
The results show thatthe technique is highlyimmune to lift-offvariations
Lee et al6 FEM Piping of titaniumalloy
The bobbin coil State Hall sensorarray
This technique allowsthe distribution of thedistorted EM fieldaround outsidediameter stresscorrosion cracking tobe imaged without theneed of a rotatingapparatus
Joubert et al61 C-scan images Bore hole Bobbin coil The row of pickupcoils of the sensingarray
The acquiredexperimental resultsshowed a greatsensing capability ofthe designed probe inthe 10ndash800 kHzfrequency range
Menezes et al62 Numericalsimulation FEM
Aluminum plate Pancake coil GMR sensor and apermanent magnetto put the sensorworking in itslinear range
The magnetic fluxdensity is closelycorrelated with thecrackrsquos depths wheremaximum amplitudedisturbance dependson the crack depth
Xie et al63 FEMthe NCSFalgorithm
A plate of 7075aluminum alloy
A large uniformcoil is designed onthe bottom andtop layers
64 sensing coilelements on twomiddle layers
All of the results showthat the array is notjust sensitive to microcracks howeveradditionally able tocrack length size
Suresh et al64 ANSYS-basedFEM
Ferro tube Bobbin coilcore ofiron
A hall sensor The efficiency of thesuggested bobbin coilis effective to inspectthe small diametertube
Ye et al65 FEM Two-layeraluminum
Two orthogonalcoils
Two linear arraysof GMR sensorsare located aboveand below theorthogonal coils
Experimental resultspresent that the probecan detect flawsregardless of theirorientation Thedifferential schemereduces the effect ofthe background fieldand improves SNR
(Continued)
6 Measurement and Control
current methods which rely on the sensor element thatutilities alternative current signal in ECT
Multi-frequency techniques
NDT widely uses multi-frequency techniques (MFTs)The MFT expanded the capabilities of using single-frequency testing which allows simultaneous tests
The multi-frequency process uses a composite signaland subtracts the undesirable signal12 The main unde-sirable signal caused by changes in the temperature var-iation material geometrical and probe lift-off69 MFTsare usually accomplished by combining the resultsobtained at different frequencies in the spatial domainLiu et al69 presented integrate two- (multi) frequencyinjection with dimensional spatial domain named as apyramid fusion method The SNR improved due toreduction in noise sources which demonstrated thepotential of signal enhancement via fusion method orraster scanning70 A two-dimensional (2D) surface pro-duced changes over of the impedance or impedance byraster scanning images12 Image processing techniquescan be applied to detect cracks using ECT Bartels andFisher71 proposed a multi-frequency eddy currentimage processing technique for the non destructivematerials evaluation SNR improvement up to 1100over traditional two-frequency techniques a sequenceof complex valued images generated from 2D ECT tomaximize the SNR The linear combination of theimages by Bartels and Fisher71
d x yeth THORN=X2Nf
i=1
cifi x yeth THORN
where Nf is the number of test frequencies and fi areextracted from the 2D images Results on experimentaldata demonstrate
Factors contributing to eddy currentsignals
The signal from an eddy current probe includes a col-lection of responses from defects sample geometry andprobe lift-off7273 Therefore it may be difficult to sepa-rate a single influence Adequate assessment of flaws orany other surface properties is likely when other factorsare understood7 The primary factors influencing theresponse of an eddy current probe are explained in thissection
Frequency
Eddy current response is strongly affected by the fre-quency chosen for the investigation This factor shouldbe appropriately selected by the operator based on thecrack detection sample such as lower frequencies forbulk characterization and higher frequencies for sur-face characterization
Many authors such as Ditchburn et al74 andThollon et al75 utilize this range and they suggestedthe range of 100Hzndash10MHz as standard inspection fre-quencies in ECT19 However a few authors such asOwston76 characterized high frequency at 25MHz forthin metallic coatings and detecting surface defects Inthe inspection of ferromagnetic materials low-frequency tests are applied to penetrate into the testspecimen and compensate for their high permeability
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Lee et al66 FEM The steel (SS400)plate
The two probesmeasure thecurrent and thevoltage todetermine the coilimpedance
A coil winding anda ferromagneticcore are used as asensing element
A low frequency hasbeen applied for deepinternal inspection of aferromagnetic material
Rifai et al67 FEM Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
An array of GMRsensors
It has verycomplicated excitationand data acquisitionsystem
Xin et al21 3D FEM Steam generatortubes
Three identicalwindings locatedon the samephysical axes 1201apart
The responsesignal can be pickedup by bobbin coil inthe center
The probe is sensitiveto flaws of allorientations in thetube wall and the linescan data enable rapidinspection rates
Abdalla et al68 Fuzzyinterferencesystem
Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
Hybrid absoluteand differentialprobe
The Mamdani-typefuzzy use to integratedabsolute anddifferential probe
GMR giant magneto resistive EC eddy current ECP eddy current probe ECT eddy current testing ANN artificial neural network NCSF
normalized crack signal fitting SNR signal-to-noise ratio
AbdAlla et al 7
Ramos et al77 have studied the detection of subsurfaceflaws relating to the characterization of depth profilesof the subsurface defects in aluminum plates78
However the high frequency applied for the inspectionof small discontinuities occured in the near-surface7980
Table 3 summarizes the impact of different frequencyvalues on the depth of penetration of severalmaterials81
Conductivity of test material
Electrical conductivity and the magnetic permeabilityof the test objects of the material depend on the micro-structure for example grain structure the presence ofa second phase work hardening and heat treatmentGreater conductivity of a material such as copper andaluminum will lead to greater flow of the eddy currentsand hence the probe coil resistance
In great conductive materials defects or cracks pro-duce a high signal as an impedance plane as illustratedin Figure 8 Furthermore the phase lag between thelift-off line and the defect is f1 f282 which is signifi-cant as indicated in Figure 7
However the penetration depth of highly conductivematerials at a fixed frequency is lower than in lowerconductive materials such as stainless steel and steelThe conductivity of the different materials can be mea-sured using the International Annealed CopperStandard (IACS) Table 4 summarizes the conductivityof common elements83
Magnetic permeability
ECT signals are significantly affected by ferromagneticmaterials due to the increase in flux produced by thesignificant relative permeability of certain materialssuch as stainless steel or carbon steel84 The permeabil-ity of material changes the coupling of the coil with theconductive specimen and subsequently affects the reac-tance of the coil Permeability has a significant effecton the ECT compared to conductivity where the crackdetection has no potential when permeability changesrandomly8586
Lift-off
ECT is strongly affected by the amount of lift-offwhich can be defined as the separation distancebetween the excitation coil surface and the conductingmaterial surface This distance changes the mutualinductance of the circuits as the lift-off increases theamplitude of the eddy current induces emf as the sec-ondary coil decreases which can result in the misinter-pretation of the signals as flaws At a significant lift-off no detectable emf will be induced in the secondarycoil due to the sample chosen818788 This effect is par-ticularly prominent when using sinusoidal excitationswhich lose sensitivity beyond 5mm89 Although it isnot required to have a zero lift-off it is imperative totry and maintain a consistent lift-off since the variationin coupling between probe and test piece will
Table 3 Typical depths of penetration
Metals 368 d
1 kHz 4 kHz 16 kHz 64 kHz 256 kHz
Copper 0082 0041 0021 0010 0005Uranium 0334 0167 0084 0042 0021Zirconium 0516 0258 0129 0065 00327075 T-6 0144 0072 0036 0018 0009Steel 0019 0009 00048 00024 000126061 T-6 0126 0063 0032 0016 0008Magnesium 0134 0067 0034 0017 0008
Figure 7 Lift-off curves and crack displacement at impedanceplane82
Table 4 Conductivity and resistivity of conductive materials
Material Conductivity ( IACS)
Copper 10000Gold 7000Aluminum 6061 4200Brass 2800Copper-nickel 90ndash10 910Cast steel 1070Inconel 600 172Silver 10500Stainless steel 304 239Zircalloy-2 240
8 Measurement and Control
significantly affect the received signal Table 5 lists pre-vious studies that have considered the lift-off issue
Figure 8 illustrates the offset position of the tubeinside the bobbin coils Lift-off is explained using a coilwhose axis is normal to the test piece However lift-offalso occur when the test is conducted using encirclingor bobbin probes The vibration of the rod or the tubeinside the probe generates noise which presents difficul-ties when inspections are conducted117
There are methods for lift-off compensation whenthe eddy currents are used in order to detect cracks andlift-off becomes an undesired variable For instanceYin et al100 researched dual excitation frequencies andcoil design to minimize the lift-off effect Researchabout processing the data was also conducted to mini-mize the lift-off effect Lopez et al118 proposed the useof wavelets to remove the eddy current probe wobblenoise from the steam generatorrsquos tubes Reduction inthe lift-off effect was also attempted by optimizing thecoil design and sensor array119
Tian et al101 had researched the reduction of lift-offeffects via normalization techniques The technique canbe applied to the measurement of metal thicknessbeneath the non-conductive coatings and to the mea-surement of microstructure and strainstress where theoutput is highly sensitive to the lift-off effect Table 5illustrates previous studies that considered the lift-offissue
Optimization of ECT probes design
According to the state of the art the probability ofdetection techniques of eddy current techniques can beimproved by the optimizing the probe design In recentyears several studies have focused on optimization ofthe ECT probe design for defect detection Rochaet al120 proposed an ECT probe design based onvelocity-induced eddy currents to detect surface defectsCommercial simulation software was used for the opti-mization and design of the probe Their experimentalresults confirmed that the proposed probe design wasable to detect defects in the conductive materials where
motion is involved120 A biorthogonal rectangular probewas developed by Zhang et al52 Simulation resultsshowed the new biorthogonal rectangular probe has alesser effect on the lift-off with higher sensitivity detec-tion Meanwhile Cardoso et al121 optimized the sensorconfiguration in the eddy current probe design A finiteelement modeling simulation was used to measure theaccuracy detection of the probe design Comparison ofexperimental and simulation date proved the accuracyof the proposed probe Research by Rosado et al122
reported the influence of the geometrical parameters ofan eddy currents planar probe in ECT The findingsshowed that modifications of the studied parameterscould substantially improve the probe performance Ina different study Ghafari et al123 proposed a methodol-ogy for determining the optimal sensor parameters forECT probe design Simulation results showed the pro-posed sensor geometry improved the probe sensitivity todepth changes in a crack
Chen and Miya124 proposed ECT probes based onsimplified detectability analysis method and a ring cur-rent model The optimal probe designs are developed inview of the combinations of these excitation and pickupcoils by comparing their detectabilities evaluated withthe simplified analysis method Aldrin et al125 pre-sented a comprehensive approach to perform model-based inversion of crack characteristics using bolt holeeddy current techniques Signal processing algorithmswere developed for wide range of crack sizes andshapes including mid-bore corner and through thick-ness crack types Inversion results for select mid-borethrough and corner crack specimens are presentedwhere sizing performance was found to be satisfactoryin general but also depend on the size and location ofthe flaw Table 6 summarizes previous studies on theoptimization of the ECT probe design
Application of artificial intelligent in eddycurrent
GMR sensor is used in ECT to pick up the MF in thepresence of the defect As the mutual inductance
Figure 8 Wobble simulation a bobbin coil in an offset position to a tube87
AbdAlla et al 9
Table 5 Review of lift-off compensation techniques
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Fan et al90 Model-based inversionalgorithm
Air-core coil Sinusoidal signal Three plates ofcopper aluminumand stainless steel
Lift-off elimination formodel-based inversionmethod
Dziczkowskiet al91
Excrementalmathematical model
Coil Sine excitation atlow frequencies isapplied
Conductivematerial
To eliminate the lift-offbetween the coil and thespecimen under test
Lu et al92 Dodd and Deedsmethod
Coaxiallyarrangedcoils
Frequencysweeping
The metal plate Reducing the lift-off effecton permeabilitymeasurement formagnetic plates frommulti-frequency inductiondata
Ribeiroet al93
Lift-off correctionbased on the spatialspectral behavior ofeddy current
GMR The probeexcitation currentwas set to 100 mAat 5 kHz
A duralumin2024 T3 plate
Increase the signal-to-noise ratio ofmeasurements
Kral et al72 Linear transformermodel to investigatethe effect of the lift-off
GMR sensor Pulse signal Metallic plate Investigate the origin andthe characteristicsassociated with the lift-offpoint of intersection(LOI)
Wu et al94 Signal analysis base onmulti-frequency phasesignature
Coil Sinusoidal signalwith multi-frequency
Copper andaluminum plates
Presented a simple modelfor metal thicknessmeasurement that isunaffected by lift-off effectto obtain the thickness
Yin and Xu60 Using peak frequenciesof the sensor signal toestimate the thickness(h)
Bottom andtop coils
Swap frequency Aluminum plates Designed a triple-coilsensor operating as twocoil pairs and in a multi-frequency mode tomeasure plate thickness
Huang andWu95
Relative magnetic fluxchanging rate (s)
Coil Pulse signal and thesquare wave usedas excitationcurrent
Four 16Mn steelplates
Ferromagnetic objecttesting used to removethe lift-off effect withoutextra measurement ofreference signals
Yu et al96 Measure the defectdimension base onslope of the linearcurve of the peakvalue
Hall sensor Pulse signal 7075 and 2024aluminum alloyplates
Reduce the lift-off noisefor detection of defectdepth or width
Zhu et al97 Hough transform wasused
Coil Sinusoidal signal Annealing copperplate
Investigate the lift-offeffect in the normalizedimpedance plane
LopesRibeiroet al98
The theory of thelinear transformer
GMR Sinusoidalexcitation
Aluminum plates oftype AL3105-H12
Measurement of thethickness of a metallicnon-ferromagnetic plate
Tian andSophian99
Normalizationtechnique
Coil Pulse signal Two plates ofaluminum
Minimize lift-off impact Itcould be utilized formetal thicknessmeasurement and formicrostructure analysis
Yin et al100 Analytical model thatdescribes theinductance
Air-coredcoil
Multi-frequency Conducting plate The phase signature ofsuch a sensor is virtuallylift-off independent
Tian et al101 Analytical model basedon the extendedtruncated regioneigenfunctionexpansion
Hall sensor Pulse signal Plate conductorwith arbitrarynumber of layers
Analyze LOI with respectto different PECconfigurations and build
(Continued)
10 Measurement and Control
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wei et al102 U-shaped ACFMsystem
Coils The signalgenerator providesa 6 kHz sinevoltage waveformsignal
Mild steel sheetworkpiece with acrack Thelongitudinal
Determine an optimal lift-off value for a specific U-shaped ACFM system
Gotohet al103
The 3D edge-basedhexahedral nonlinearFEM
A transversetype Hallelement
The excitingfrequency is set to1 kHz
Nickel-coated steelplate
To inspect the thicknessof nickel-layer on steelplate without the impactof lift-off
LopesRibeiroet al98
A linear transformermodel
GMR sensor Sinusoidal signal Aluminum plates Measures the thickness ofmetallic
Gotohet al104
Electromagneticacoustic transducer
Transducercoil
A 250 kHzsinusoidal burstcurrent drives theEMAT coil
Steel plate Suitable lift-off value forthis specific EMAT systemshould be around 2 mm
Li et al105 The relative variationof magnetic flux (s)
Coil Pulse signal Metal plate Measurement of lift-off isextracted from themiddle part of the PECTsignal
Anganiet al17
Transient eddy currentoscillations
Hall sensor Pulses of the 50duty cycle with therepetition rate of2 s
Stainless steel plate Eliminate the falseindications due to the lift-off variations in thethickness measurement ofthe test material
Wanget al106
The slope of the lift-off curve (SLOC)feature of the eddycurrent sensor (ECS)
Sensor coil The workingfrequency (1 MHz)
Copper film Immunity to lift-offvariation
Wanget al107
Pulsed eddy current(PEC) responses
Hall sensor Pulse signal Nonmagnetic plate Study behaviors of lift-offpoint of intersectionpoints due to a plate withvarying conductivity andthickness
He et al108 Principal componentanalysis and supportvector machine
Coil The excitationpulse used 196 V100 Hz
Two 3003vAlndashMnalloy plate
Defect-automatedclassification
Aminehet al109
Blind deconvolutionalgorithm and awavelet networkinversion method
A tinyinductioncoil sensor
Alternating current Metal surface Lift-off evaluation andsurface crack signalrestoration
HoshikawaandKoyama110
Improvements inprobe design (h)
Tangentialcoil
Alternative current Brass plate To monitor the probe lift-off to avoid the probe notdetecting flaws in thematerial
Lu et al111 Multi-frequencyinductance spectraldata
Air-core coil Sinusoidal signal Metallic plates Proposed a new index tocompensate lift-offvariation linked to thethickness At different lift-offs the accuracy of thethickness measurementsproved to be more than98
Lu et al92112 Dodd and Deedsmethod
Air-core coil Sinusoidal signal Magnetic plates Proposed a new modifiedpermeabilitymeasurement techniquefor magnetic plates frommulti-frequency inductiondata The permeabilityerror caused by lift-offcan be reduced within75
(Continued)
AbdAlla et al 11
between the coil and the specimen is sensitive to thelift-off any changes in lift-off must be compensated forin order to achieve the accurate depth of defectmeasurements
The fuzzy logic is instrumental for enhancing lift-offcompensation Artificial intelligent used is in manytypes of research in ECT There are two common fuzzyinference methods Mamdanirsquos fuzzy inference methodand TakagindashSugenondashKang a method of fuzzy infer-ence The output from Mamdani fuzzy inference sys-tem (FIS) can be easily transformed into a linguisticform as the inference result before defuzzification135
The main difference between Mamdani-type FIS andSugeno-type FIS resides in the way the crisp output isgenerated from the fuzzy inputs136 While Mamdani-type FIS uses the technique of defuzzification of afuzzy output Sugeno-type FIS uses weighted averageto compute the crisp output137 so the Sugenorsquos output
membership functions are either linear or constant butMamdanirsquos inference expects the output membershipfunctions to be fuzzy sets which are appropriate forcomparing the peak of sensors Based on artificial intel-ligent technology a lot of research has been done bymany researchers about ECT as shown in Table 7
Conclusion
This paper introduces an overview of the eddy currentprobes structure and error compensation techniques toobtain an ideal measuring depth of defect for the mate-rial under test There are two techniques to sense thechange in MF air coil and magnetoresistance sensorAir coil is less sensitive at low frequency which requiredto inspect the surface of pipe and plate This particularpaper also reviews the manufacturer in the industry toproduce the commercial probes for practical tube
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wen et al113 Lift-off point ofintersection has beenapplied to determinethickness or evaluatedefects
Air-core coil PEC Metallic plates The effective signalfeature indicates that thefrequency and amplitudeat the LOI are decreasedwith sample thicknessincreasing In addition thefrequency LOI can beused to measure thesample thicknessfunctioning similarly totime domain LOI bymonitoring the frequencyand amplitude
Kral et al72 Linear transformermodel
Magnetoresistivesensor probe
Pulsed excitation No ferromagneticmetallic plates
The timederivative ofthe
magnetization curvesobtained for differentgaps between theexcitation coil and theplate was proposed
Yin et al114 Simplified modelrelated to thicknessconductivity and lift-offs
Air-core coil Sinusoidal signal Nonmagneticmetallic plate
Present the model withtwo independentparameters for a range ofthickness conductivityand lift-offs
Wei et al115 Design alternatingcurrent fieldmeasurement (ACFM)system
U-shapedprobe
Sinusoidal signal nonmagneticmetallic plate
Determine the optimum-induced frequency basedon the signal acquisitionand the measurementaccuracy of an ACFMsystem
Fan et al116 PEC spectral responseto serve as robustfeatures for thicknessevaluation
Hall sensor PEC Nonmagneticmetallic plate
Propose to apply thephase of PEC spectralresponse from a Hallsensor rather than pickupcoilndashbased probe tothickness measurementfor the elimination of lift-off effect
GMR giant magneto resistive ACFM alternating current filed measurement FEM finite element method PECT pulsed eddy current thermography
12 Measurement and Control
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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from bend regions of steam generator tubes of prototype
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Brussels European Commission25 Xiang P Ramakrishnan S Cai X et al Automated analy-
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from steam generator tubes Int J Appl Electrom 2000 12
151ndash16426 Xin J Lei N Udpa L et al Nondestructive inspection
using rotating magnetic field eddy-current probe IEEE T
Magn 2011 47 1070ndash107327 Huang H Sakurai N Takagi T et al Design of an eddy-
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IEEE T Magn 1990 26 299ndash30733 Yang G Tamburrino A Udpa L et al Pulsed eddy-
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IEEE Sens J 2017 17 412ndash42135 Bowler J and Johnson M Pulsed eddy-current response
to a conducting half-space IEEE T Magn 1997 33
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resistive sensors Naples Universita degli Studi di Napoli
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tion of defects in aluminum plates using GMR probes
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field sensors based on giant magnetoresistance (GMR)
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lingham WA International Society for Optics and
Photonics45 Li W Yuan Xa Chen G et al A feed-through ACFM
probe with sensor array for pipe string cracks inspection
NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
of the sensors 2010 IEEE Kona HI 1ndash4 November
2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
signal analysis application to the experimental detection
and characterization of deep flaws in highly conductive
materials NDTampE Int 1997 30 163ndash17048 Lebrun B Jayet Y and Baboux JC Pulsed eddy current
application to the detection of deep cracks Mater Eval
1995 53 1296ndash130049 Kim J Yang G Udpa L et al Classification of pulsed
eddy current GMR data on aircraft structures NDTampE
Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
ductivity of metallic layers from pulsed eddy-current mea-
surements Rev Sci Instrum 1996 67 3965ndash397251 DrsquoAngelo G Laracca M Rampone S et al Fast eddy cur-
rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
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1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
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54 Yang G Zeng Z Deng Y et al 3D EC-GMR sensor sys-
tem for detection of subsurface defects at steel fastener
sites NDTampE Int 2012 50 20ndash2855 Yang G Dib G Udpa L et al Rotating field EC-GMR
sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
current testing J Fund Appl Sci 2018 10 949ndash96458 Shim H-S Choi MS Lee DH et al A prediction method
for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
tions IEEE T Instrum Meas 2016 65 164ndash16961 Joubert PY Vourcrsquoh E and Thomas V Experimental
validation of an eddy current probe dedicated to the
multi-frequency imaging of bore holes Sensor Actuat A-
Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
crack depth using eddy current techniques with GMR-
based probes In Proceedings of the metrology for aero-
space (Metroaerospace) Benevento 4ndash5 June 2015 pp
335ndash339 New York IEEE63 Xie R Chen D Pan M et al Fatigue crack length sizing
using a novel flexible eddy current sensor array Sensors
2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
Sensors 2017 17 E57968 Abdalla A Ali K Paw J et al A novel eddy current test-
ing error compensation technique based on Mamdani-
type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
16 Measurement and Control
evaluation of their performances In Proceedings of the
15th world conference on NDT (WCNDT 2000) 2000
httpswwwndtnetarticlewcndt00papersidn591
idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
image processing techniques for nondestructive evalua-
tion In Proceedings of the international conference on
image processing Washington DC 23ndash26 October 1995
p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
rent testing system In Proceedings of the international
conference on intelligent systems engineering (ICISE)
Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 4: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/4.jpg)
Pulsed eddy current
Pulsed excitation produces transient signals with a widerange of frequency components Hence it containsmore information compared to a single-frequency exci-tation3233 The pulsed eddy current (PEC) signals havecommon features in the transient characteristics suchas the peak amplitude time-to-peak amplitude andtime-to-zero crossing The peak amplitude will deter-mine the defect size The defect depth or material thick-ness will be identified by the peak amplitude34ndash36 Theearliest study of PEC for crack detection in layeredstructures with installed fasteners was conducted byHarrison3738 Giguere et al39 also studied the detectionof cracks beneath rivet heads using the transient ECtechniques Figure 6 shows some experimental resultsof PEC to test multilayer sample33
ECT with MF measurement method
The most recent research introduced the GMR sensorIt is widely used in many applications because the sensi-tivity of these sensors is independent of the MF it hasa high bandwidth only requires a low power supplythe dimensions of GMR are small and the output signalis high compared to the other MR sensors Thereforethe GMR-based EC testing exhibits significant advan-tages in detecting complex geometry such as a layeredcomponent inspection40 The directional property ofthe GMR sensor had been used to locate edge cracks in
aluminum specimen4041 A needle-type GMR imagingtechnique named the SV-GMR system was designedfor the inspection of a bare polychlorinated biphenylstructure to measure the magnetic fluid density in a liv-ing body1042
High-resolution GMR elements are fabricated in asmall package of sensors arrays An inspiring applica-tion of this array probe was found in the evaluation ofmetal medical implants for invisible cracks43 A lineararray of 20 GMR elements was packaged to image ahole defect in a steel plate using 1Hz excitationDesigns of GMR array probes in identical elementshad been studied to detect subsurface cracks44 High-density GMR arrays were especially promising forrapid scanning of a large area as well as high-resolutionimaging745 Another type of GMR array sensors thatuse two-directional elements was investigated in the ECtesting to detect surface cracks of unknown orientationThey measure both X-component and Y-component ofthe MF at the same point5 A fast Fourier transforma-tion to enhance the ECT probe based on the GMRarray sensors for pipe inspection was utilized by Duet al46
The transient excitation of the coil probes with twoMR sensors or two Hall sensors in differential modehave been studied by Lebrun et al4748 and used forcharacterizing crack parameters Kim et al49 intro-duced a method for the assessment of aircraft struc-tures The system produced pulse excitation thatenergized a planar multi-line coil The GMR field sen-sor was used to detect the transient field Tai et al50
studied similar transient features for an inversionscheme to qualify the conductivity and thickness of thesamples Table 2 shows the difference between the eddy
Table 1 ECT probes for tube or pipe assessment inspection
Types Advantages Disadvantage
Bobbin probe618 Rapidly inspects speed determine defect depth andlength lower price higher dependability andtoughness and sensitive to axial flaws
one dimension scan data and insensitive tocircumferential defect
Rotating probe21 Depth C-scan visualization for inner tube surfacesensitivity to the flow of all orientations and higherSNR
Low dependability and toughness costly andinspection speed is slow
Array probe2728 Sensitivity to flaws in all directions inspection speedis fast and size defect with the depth and length ofthe C-scan visualization for inner tube surface
Very expensive with complex instrumentation
Rotating field probe829 Sensitive to defects of all directions no needrotating probe mechanically high inspection speed
Need field test approve
SNR signal-to-noise ratio
Figure 5 3D model of rotating field probe with bobbin coil
Figure 6 PEC to test multilayer sample33
4 Measurement and Control
Table 2 Overviews of the utilities AC signal in eddy current testing with different probe designs
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
DrsquoAngelo et al51 Multilayerperceptronneural network(NN)
Aluminum alloy(2024 T3)
Coil with aparallelepipedshape
GMR sensor Mechanical rotation ofEC probes around walltube is needed toinspect the inside pipe
Zhang et al52 Finite elementmethod (FEM)
Conductive plate Rectangularexcitation coil
Cylindrical pickupcoil
The analytical resultsagree with FEM resultsand the forwardmodel of quantitativedetection for ECTofmultilayer conductivestructure
Postolache et al53 ANNmultilayerperceptronfinite elementsimulation
Aluminum plate ECP1 has apancake type (largediameter and smallheight) and ECP2has a smalldiameter and longlength
The GMR sensor inboth cases
Implementation of theNN classificationmethod improves thedependability of defectclassification
Zeng et al9 Three-dimensionalfinite elementmesh
Aluminum andsteel fasteners
A multi-line coil GMR sensorlocated on the lineof symmetry
Simulation resultsestablish that theproposed methodimproved thesensitivity of themethod in detectionof multilayersubsurface flaws
Yang et al54 Finite elementsimulationimage fusiontechnique
Steel fastener Planar multi-linecoil
GMR sensorinstalled on the lineof symmetry
Eliminate the difficultyof detecting cracksunder steel fastenersby using thecharacteristics oftangential componentsBy and Bx of theinduced magnetic field
Yang et al55 FEM Aluminum andsteel rivets
Two unidirectionalplanar coilsoriented inorthogonaldirections
GMR sensor The experimental andsimulation outcomesindicate that themethod can detect allorientations of a flawunder the fastener
Kim and Lee56 Experimental Inconel 690 tubes Multiple coils withthree deferentangle
Multiple coils withthree deferentangle
The experimentalresults prove that thesuggested probes aremore sensitive tocircumferential defectsand sensitive to axialdefects by employingboth the new probesand the conventionalbobbin
Ye et al8 C-scan imageFEM
An Inconel 690steam generatortube
Pair of orthogonal(axial andcircumferential)coils
A circumferentialarray of 16 GMRsensors
The probe has highinspection speed andsensitivity to defectsof the axial andcircumferentialdirections However ithas very complicatedexcitation and dataacquisition system
Paw et al57 Design ofexperimentsoftware
Carbon steel pipe Encircling coil for adifferential probe(ECDP) andencircling coil foran absolute probe(ECAP)
Encircling coil for adifferential probe(ECDP) andencircling coil foran absolute probe(ECAP)
The probe cannotdetect the transversedefect
(Continued)
AbdAlla et al 5
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Shim et al58 The primarysimulated waterof a pressurizedwater reactor
Alloy 690 steamgenerator tubes
A conventionalbobbin coil probeand a conventional3-coil motorizedrotating probe
A conventionalbobbin coil probeand 3-coilmotorized rotatingprobe
The general corrosionrates of alloy withdifferent 690TT tubenoises can bepredicted from thetube noise valuemeasured by arotating pancake coilprobe
Ribeiro et al59 A conformaltransformation
Aluminum plate A rectangular crosscoil
GMR sensor The conformaltransformation usedto model the crack ofan aluminum plate topreview the acquiredvoltage signals
Yin and Xu60 Peakfrequencies ofthe sensorsignal have beenutilized tocalculate thethickness of theplate
Aluminum plates Triple-coil sensormeasurements aremade by excitingthe middle coil
Triple-coil sensormeasurements aremade by takinginduced voltagesfrom the bottomand the top coils
The results show thatthe technique is highlyimmune to lift-offvariations
Lee et al6 FEM Piping of titaniumalloy
The bobbin coil State Hall sensorarray
This technique allowsthe distribution of thedistorted EM fieldaround outsidediameter stresscorrosion cracking tobe imaged without theneed of a rotatingapparatus
Joubert et al61 C-scan images Bore hole Bobbin coil The row of pickupcoils of the sensingarray
The acquiredexperimental resultsshowed a greatsensing capability ofthe designed probe inthe 10ndash800 kHzfrequency range
Menezes et al62 Numericalsimulation FEM
Aluminum plate Pancake coil GMR sensor and apermanent magnetto put the sensorworking in itslinear range
The magnetic fluxdensity is closelycorrelated with thecrackrsquos depths wheremaximum amplitudedisturbance dependson the crack depth
Xie et al63 FEMthe NCSFalgorithm
A plate of 7075aluminum alloy
A large uniformcoil is designed onthe bottom andtop layers
64 sensing coilelements on twomiddle layers
All of the results showthat the array is notjust sensitive to microcracks howeveradditionally able tocrack length size
Suresh et al64 ANSYS-basedFEM
Ferro tube Bobbin coilcore ofiron
A hall sensor The efficiency of thesuggested bobbin coilis effective to inspectthe small diametertube
Ye et al65 FEM Two-layeraluminum
Two orthogonalcoils
Two linear arraysof GMR sensorsare located aboveand below theorthogonal coils
Experimental resultspresent that the probecan detect flawsregardless of theirorientation Thedifferential schemereduces the effect ofthe background fieldand improves SNR
(Continued)
6 Measurement and Control
current methods which rely on the sensor element thatutilities alternative current signal in ECT
Multi-frequency techniques
NDT widely uses multi-frequency techniques (MFTs)The MFT expanded the capabilities of using single-frequency testing which allows simultaneous tests
The multi-frequency process uses a composite signaland subtracts the undesirable signal12 The main unde-sirable signal caused by changes in the temperature var-iation material geometrical and probe lift-off69 MFTsare usually accomplished by combining the resultsobtained at different frequencies in the spatial domainLiu et al69 presented integrate two- (multi) frequencyinjection with dimensional spatial domain named as apyramid fusion method The SNR improved due toreduction in noise sources which demonstrated thepotential of signal enhancement via fusion method orraster scanning70 A two-dimensional (2D) surface pro-duced changes over of the impedance or impedance byraster scanning images12 Image processing techniquescan be applied to detect cracks using ECT Bartels andFisher71 proposed a multi-frequency eddy currentimage processing technique for the non destructivematerials evaluation SNR improvement up to 1100over traditional two-frequency techniques a sequenceof complex valued images generated from 2D ECT tomaximize the SNR The linear combination of theimages by Bartels and Fisher71
d x yeth THORN=X2Nf
i=1
cifi x yeth THORN
where Nf is the number of test frequencies and fi areextracted from the 2D images Results on experimentaldata demonstrate
Factors contributing to eddy currentsignals
The signal from an eddy current probe includes a col-lection of responses from defects sample geometry andprobe lift-off7273 Therefore it may be difficult to sepa-rate a single influence Adequate assessment of flaws orany other surface properties is likely when other factorsare understood7 The primary factors influencing theresponse of an eddy current probe are explained in thissection
Frequency
Eddy current response is strongly affected by the fre-quency chosen for the investigation This factor shouldbe appropriately selected by the operator based on thecrack detection sample such as lower frequencies forbulk characterization and higher frequencies for sur-face characterization
Many authors such as Ditchburn et al74 andThollon et al75 utilize this range and they suggestedthe range of 100Hzndash10MHz as standard inspection fre-quencies in ECT19 However a few authors such asOwston76 characterized high frequency at 25MHz forthin metallic coatings and detecting surface defects Inthe inspection of ferromagnetic materials low-frequency tests are applied to penetrate into the testspecimen and compensate for their high permeability
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Lee et al66 FEM The steel (SS400)plate
The two probesmeasure thecurrent and thevoltage todetermine the coilimpedance
A coil winding anda ferromagneticcore are used as asensing element
A low frequency hasbeen applied for deepinternal inspection of aferromagnetic material
Rifai et al67 FEM Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
An array of GMRsensors
It has verycomplicated excitationand data acquisitionsystem
Xin et al21 3D FEM Steam generatortubes
Three identicalwindings locatedon the samephysical axes 1201apart
The responsesignal can be pickedup by bobbin coil inthe center
The probe is sensitiveto flaws of allorientations in thetube wall and the linescan data enable rapidinspection rates
Abdalla et al68 Fuzzyinterferencesystem
Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
Hybrid absoluteand differentialprobe
The Mamdani-typefuzzy use to integratedabsolute anddifferential probe
GMR giant magneto resistive EC eddy current ECP eddy current probe ECT eddy current testing ANN artificial neural network NCSF
normalized crack signal fitting SNR signal-to-noise ratio
AbdAlla et al 7
Ramos et al77 have studied the detection of subsurfaceflaws relating to the characterization of depth profilesof the subsurface defects in aluminum plates78
However the high frequency applied for the inspectionof small discontinuities occured in the near-surface7980
Table 3 summarizes the impact of different frequencyvalues on the depth of penetration of severalmaterials81
Conductivity of test material
Electrical conductivity and the magnetic permeabilityof the test objects of the material depend on the micro-structure for example grain structure the presence ofa second phase work hardening and heat treatmentGreater conductivity of a material such as copper andaluminum will lead to greater flow of the eddy currentsand hence the probe coil resistance
In great conductive materials defects or cracks pro-duce a high signal as an impedance plane as illustratedin Figure 8 Furthermore the phase lag between thelift-off line and the defect is f1 f282 which is signifi-cant as indicated in Figure 7
However the penetration depth of highly conductivematerials at a fixed frequency is lower than in lowerconductive materials such as stainless steel and steelThe conductivity of the different materials can be mea-sured using the International Annealed CopperStandard (IACS) Table 4 summarizes the conductivityof common elements83
Magnetic permeability
ECT signals are significantly affected by ferromagneticmaterials due to the increase in flux produced by thesignificant relative permeability of certain materialssuch as stainless steel or carbon steel84 The permeabil-ity of material changes the coupling of the coil with theconductive specimen and subsequently affects the reac-tance of the coil Permeability has a significant effecton the ECT compared to conductivity where the crackdetection has no potential when permeability changesrandomly8586
Lift-off
ECT is strongly affected by the amount of lift-offwhich can be defined as the separation distancebetween the excitation coil surface and the conductingmaterial surface This distance changes the mutualinductance of the circuits as the lift-off increases theamplitude of the eddy current induces emf as the sec-ondary coil decreases which can result in the misinter-pretation of the signals as flaws At a significant lift-off no detectable emf will be induced in the secondarycoil due to the sample chosen818788 This effect is par-ticularly prominent when using sinusoidal excitationswhich lose sensitivity beyond 5mm89 Although it isnot required to have a zero lift-off it is imperative totry and maintain a consistent lift-off since the variationin coupling between probe and test piece will
Table 3 Typical depths of penetration
Metals 368 d
1 kHz 4 kHz 16 kHz 64 kHz 256 kHz
Copper 0082 0041 0021 0010 0005Uranium 0334 0167 0084 0042 0021Zirconium 0516 0258 0129 0065 00327075 T-6 0144 0072 0036 0018 0009Steel 0019 0009 00048 00024 000126061 T-6 0126 0063 0032 0016 0008Magnesium 0134 0067 0034 0017 0008
Figure 7 Lift-off curves and crack displacement at impedanceplane82
Table 4 Conductivity and resistivity of conductive materials
Material Conductivity ( IACS)
Copper 10000Gold 7000Aluminum 6061 4200Brass 2800Copper-nickel 90ndash10 910Cast steel 1070Inconel 600 172Silver 10500Stainless steel 304 239Zircalloy-2 240
8 Measurement and Control
significantly affect the received signal Table 5 lists pre-vious studies that have considered the lift-off issue
Figure 8 illustrates the offset position of the tubeinside the bobbin coils Lift-off is explained using a coilwhose axis is normal to the test piece However lift-offalso occur when the test is conducted using encirclingor bobbin probes The vibration of the rod or the tubeinside the probe generates noise which presents difficul-ties when inspections are conducted117
There are methods for lift-off compensation whenthe eddy currents are used in order to detect cracks andlift-off becomes an undesired variable For instanceYin et al100 researched dual excitation frequencies andcoil design to minimize the lift-off effect Researchabout processing the data was also conducted to mini-mize the lift-off effect Lopez et al118 proposed the useof wavelets to remove the eddy current probe wobblenoise from the steam generatorrsquos tubes Reduction inthe lift-off effect was also attempted by optimizing thecoil design and sensor array119
Tian et al101 had researched the reduction of lift-offeffects via normalization techniques The technique canbe applied to the measurement of metal thicknessbeneath the non-conductive coatings and to the mea-surement of microstructure and strainstress where theoutput is highly sensitive to the lift-off effect Table 5illustrates previous studies that considered the lift-offissue
Optimization of ECT probes design
According to the state of the art the probability ofdetection techniques of eddy current techniques can beimproved by the optimizing the probe design In recentyears several studies have focused on optimization ofthe ECT probe design for defect detection Rochaet al120 proposed an ECT probe design based onvelocity-induced eddy currents to detect surface defectsCommercial simulation software was used for the opti-mization and design of the probe Their experimentalresults confirmed that the proposed probe design wasable to detect defects in the conductive materials where
motion is involved120 A biorthogonal rectangular probewas developed by Zhang et al52 Simulation resultsshowed the new biorthogonal rectangular probe has alesser effect on the lift-off with higher sensitivity detec-tion Meanwhile Cardoso et al121 optimized the sensorconfiguration in the eddy current probe design A finiteelement modeling simulation was used to measure theaccuracy detection of the probe design Comparison ofexperimental and simulation date proved the accuracyof the proposed probe Research by Rosado et al122
reported the influence of the geometrical parameters ofan eddy currents planar probe in ECT The findingsshowed that modifications of the studied parameterscould substantially improve the probe performance Ina different study Ghafari et al123 proposed a methodol-ogy for determining the optimal sensor parameters forECT probe design Simulation results showed the pro-posed sensor geometry improved the probe sensitivity todepth changes in a crack
Chen and Miya124 proposed ECT probes based onsimplified detectability analysis method and a ring cur-rent model The optimal probe designs are developed inview of the combinations of these excitation and pickupcoils by comparing their detectabilities evaluated withthe simplified analysis method Aldrin et al125 pre-sented a comprehensive approach to perform model-based inversion of crack characteristics using bolt holeeddy current techniques Signal processing algorithmswere developed for wide range of crack sizes andshapes including mid-bore corner and through thick-ness crack types Inversion results for select mid-borethrough and corner crack specimens are presentedwhere sizing performance was found to be satisfactoryin general but also depend on the size and location ofthe flaw Table 6 summarizes previous studies on theoptimization of the ECT probe design
Application of artificial intelligent in eddycurrent
GMR sensor is used in ECT to pick up the MF in thepresence of the defect As the mutual inductance
Figure 8 Wobble simulation a bobbin coil in an offset position to a tube87
AbdAlla et al 9
Table 5 Review of lift-off compensation techniques
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Fan et al90 Model-based inversionalgorithm
Air-core coil Sinusoidal signal Three plates ofcopper aluminumand stainless steel
Lift-off elimination formodel-based inversionmethod
Dziczkowskiet al91
Excrementalmathematical model
Coil Sine excitation atlow frequencies isapplied
Conductivematerial
To eliminate the lift-offbetween the coil and thespecimen under test
Lu et al92 Dodd and Deedsmethod
Coaxiallyarrangedcoils
Frequencysweeping
The metal plate Reducing the lift-off effecton permeabilitymeasurement formagnetic plates frommulti-frequency inductiondata
Ribeiroet al93
Lift-off correctionbased on the spatialspectral behavior ofeddy current
GMR The probeexcitation currentwas set to 100 mAat 5 kHz
A duralumin2024 T3 plate
Increase the signal-to-noise ratio ofmeasurements
Kral et al72 Linear transformermodel to investigatethe effect of the lift-off
GMR sensor Pulse signal Metallic plate Investigate the origin andthe characteristicsassociated with the lift-offpoint of intersection(LOI)
Wu et al94 Signal analysis base onmulti-frequency phasesignature
Coil Sinusoidal signalwith multi-frequency
Copper andaluminum plates
Presented a simple modelfor metal thicknessmeasurement that isunaffected by lift-off effectto obtain the thickness
Yin and Xu60 Using peak frequenciesof the sensor signal toestimate the thickness(h)
Bottom andtop coils
Swap frequency Aluminum plates Designed a triple-coilsensor operating as twocoil pairs and in a multi-frequency mode tomeasure plate thickness
Huang andWu95
Relative magnetic fluxchanging rate (s)
Coil Pulse signal and thesquare wave usedas excitationcurrent
Four 16Mn steelplates
Ferromagnetic objecttesting used to removethe lift-off effect withoutextra measurement ofreference signals
Yu et al96 Measure the defectdimension base onslope of the linearcurve of the peakvalue
Hall sensor Pulse signal 7075 and 2024aluminum alloyplates
Reduce the lift-off noisefor detection of defectdepth or width
Zhu et al97 Hough transform wasused
Coil Sinusoidal signal Annealing copperplate
Investigate the lift-offeffect in the normalizedimpedance plane
LopesRibeiroet al98
The theory of thelinear transformer
GMR Sinusoidalexcitation
Aluminum plates oftype AL3105-H12
Measurement of thethickness of a metallicnon-ferromagnetic plate
Tian andSophian99
Normalizationtechnique
Coil Pulse signal Two plates ofaluminum
Minimize lift-off impact Itcould be utilized formetal thicknessmeasurement and formicrostructure analysis
Yin et al100 Analytical model thatdescribes theinductance
Air-coredcoil
Multi-frequency Conducting plate The phase signature ofsuch a sensor is virtuallylift-off independent
Tian et al101 Analytical model basedon the extendedtruncated regioneigenfunctionexpansion
Hall sensor Pulse signal Plate conductorwith arbitrarynumber of layers
Analyze LOI with respectto different PECconfigurations and build
(Continued)
10 Measurement and Control
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wei et al102 U-shaped ACFMsystem
Coils The signalgenerator providesa 6 kHz sinevoltage waveformsignal
Mild steel sheetworkpiece with acrack Thelongitudinal
Determine an optimal lift-off value for a specific U-shaped ACFM system
Gotohet al103
The 3D edge-basedhexahedral nonlinearFEM
A transversetype Hallelement
The excitingfrequency is set to1 kHz
Nickel-coated steelplate
To inspect the thicknessof nickel-layer on steelplate without the impactof lift-off
LopesRibeiroet al98
A linear transformermodel
GMR sensor Sinusoidal signal Aluminum plates Measures the thickness ofmetallic
Gotohet al104
Electromagneticacoustic transducer
Transducercoil
A 250 kHzsinusoidal burstcurrent drives theEMAT coil
Steel plate Suitable lift-off value forthis specific EMAT systemshould be around 2 mm
Li et al105 The relative variationof magnetic flux (s)
Coil Pulse signal Metal plate Measurement of lift-off isextracted from themiddle part of the PECTsignal
Anganiet al17
Transient eddy currentoscillations
Hall sensor Pulses of the 50duty cycle with therepetition rate of2 s
Stainless steel plate Eliminate the falseindications due to the lift-off variations in thethickness measurement ofthe test material
Wanget al106
The slope of the lift-off curve (SLOC)feature of the eddycurrent sensor (ECS)
Sensor coil The workingfrequency (1 MHz)
Copper film Immunity to lift-offvariation
Wanget al107
Pulsed eddy current(PEC) responses
Hall sensor Pulse signal Nonmagnetic plate Study behaviors of lift-offpoint of intersectionpoints due to a plate withvarying conductivity andthickness
He et al108 Principal componentanalysis and supportvector machine
Coil The excitationpulse used 196 V100 Hz
Two 3003vAlndashMnalloy plate
Defect-automatedclassification
Aminehet al109
Blind deconvolutionalgorithm and awavelet networkinversion method
A tinyinductioncoil sensor
Alternating current Metal surface Lift-off evaluation andsurface crack signalrestoration
HoshikawaandKoyama110
Improvements inprobe design (h)
Tangentialcoil
Alternative current Brass plate To monitor the probe lift-off to avoid the probe notdetecting flaws in thematerial
Lu et al111 Multi-frequencyinductance spectraldata
Air-core coil Sinusoidal signal Metallic plates Proposed a new index tocompensate lift-offvariation linked to thethickness At different lift-offs the accuracy of thethickness measurementsproved to be more than98
Lu et al92112 Dodd and Deedsmethod
Air-core coil Sinusoidal signal Magnetic plates Proposed a new modifiedpermeabilitymeasurement techniquefor magnetic plates frommulti-frequency inductiondata The permeabilityerror caused by lift-offcan be reduced within75
(Continued)
AbdAlla et al 11
between the coil and the specimen is sensitive to thelift-off any changes in lift-off must be compensated forin order to achieve the accurate depth of defectmeasurements
The fuzzy logic is instrumental for enhancing lift-offcompensation Artificial intelligent used is in manytypes of research in ECT There are two common fuzzyinference methods Mamdanirsquos fuzzy inference methodand TakagindashSugenondashKang a method of fuzzy infer-ence The output from Mamdani fuzzy inference sys-tem (FIS) can be easily transformed into a linguisticform as the inference result before defuzzification135
The main difference between Mamdani-type FIS andSugeno-type FIS resides in the way the crisp output isgenerated from the fuzzy inputs136 While Mamdani-type FIS uses the technique of defuzzification of afuzzy output Sugeno-type FIS uses weighted averageto compute the crisp output137 so the Sugenorsquos output
membership functions are either linear or constant butMamdanirsquos inference expects the output membershipfunctions to be fuzzy sets which are appropriate forcomparing the peak of sensors Based on artificial intel-ligent technology a lot of research has been done bymany researchers about ECT as shown in Table 7
Conclusion
This paper introduces an overview of the eddy currentprobes structure and error compensation techniques toobtain an ideal measuring depth of defect for the mate-rial under test There are two techniques to sense thechange in MF air coil and magnetoresistance sensorAir coil is less sensitive at low frequency which requiredto inspect the surface of pipe and plate This particularpaper also reviews the manufacturer in the industry toproduce the commercial probes for practical tube
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wen et al113 Lift-off point ofintersection has beenapplied to determinethickness or evaluatedefects
Air-core coil PEC Metallic plates The effective signalfeature indicates that thefrequency and amplitudeat the LOI are decreasedwith sample thicknessincreasing In addition thefrequency LOI can beused to measure thesample thicknessfunctioning similarly totime domain LOI bymonitoring the frequencyand amplitude
Kral et al72 Linear transformermodel
Magnetoresistivesensor probe
Pulsed excitation No ferromagneticmetallic plates
The timederivative ofthe
magnetization curvesobtained for differentgaps between theexcitation coil and theplate was proposed
Yin et al114 Simplified modelrelated to thicknessconductivity and lift-offs
Air-core coil Sinusoidal signal Nonmagneticmetallic plate
Present the model withtwo independentparameters for a range ofthickness conductivityand lift-offs
Wei et al115 Design alternatingcurrent fieldmeasurement (ACFM)system
U-shapedprobe
Sinusoidal signal nonmagneticmetallic plate
Determine the optimum-induced frequency basedon the signal acquisitionand the measurementaccuracy of an ACFMsystem
Fan et al116 PEC spectral responseto serve as robustfeatures for thicknessevaluation
Hall sensor PEC Nonmagneticmetallic plate
Propose to apply thephase of PEC spectralresponse from a Hallsensor rather than pickupcoilndashbased probe tothickness measurementfor the elimination of lift-off effect
GMR giant magneto resistive ACFM alternating current filed measurement FEM finite element method PECT pulsed eddy current thermography
12 Measurement and Control
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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19 Xu EX and Simkin J Total and reduced magnetic vector
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from bend regions of steam generator tubes of prototype
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defects evaluation using eddy current testing Ind J Sci
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Brussels European Commission25 Xiang P Ramakrishnan S Cai X et al Automated analy-
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from steam generator tubes Int J Appl Electrom 2000 12
151ndash16426 Xin J Lei N Udpa L et al Nondestructive inspection
using rotating magnetic field eddy-current probe IEEE T
Magn 2011 47 1070ndash107327 Huang H Sakurai N Takagi T et al Design of an eddy-
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IEEE T Magn 1990 26 299ndash30733 Yang G Tamburrino A Udpa L et al Pulsed eddy-
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910ndash91734 Li X Gao B Woo WL et al Quantitative surface crack
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IEEE Sens J 2017 17 412ndash42135 Bowler J and Johnson M Pulsed eddy-current response
to a conducting half-space IEEE T Magn 1997 33
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resistive sensors Naples Universita degli Studi di Napoli
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tion of defects in aluminum plates using GMR probes
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field sensors based on giant magnetoresistance (GMR)
technology applications in electrical current sensing Sen-
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sensors for nondestructive evaluation In Proceedings
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lingham WA International Society for Optics and
Photonics45 Li W Yuan Xa Chen G et al A feed-through ACFM
probe with sensor array for pipe string cracks inspection
NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
of the sensors 2010 IEEE Kona HI 1ndash4 November
2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
signal analysis application to the experimental detection
and characterization of deep flaws in highly conductive
materials NDTampE Int 1997 30 163ndash17048 Lebrun B Jayet Y and Baboux JC Pulsed eddy current
application to the detection of deep cracks Mater Eval
1995 53 1296ndash130049 Kim J Yang G Udpa L et al Classification of pulsed
eddy current GMR data on aircraft structures NDTampE
Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
ductivity of metallic layers from pulsed eddy-current mea-
surements Rev Sci Instrum 1996 67 3965ndash397251 DrsquoAngelo G Laracca M Rampone S et al Fast eddy cur-
rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
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1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
artificial neural networks Comp Stand Inter 2011 33
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54 Yang G Zeng Z Deng Y et al 3D EC-GMR sensor sys-
tem for detection of subsurface defects at steel fastener
sites NDTampE Int 2012 50 20ndash2855 Yang G Dib G Udpa L et al Rotating field EC-GMR
sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
current testing J Fund Appl Sci 2018 10 949ndash96458 Shim H-S Choi MS Lee DH et al A prediction method
for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
tions IEEE T Instrum Meas 2016 65 164ndash16961 Joubert PY Vourcrsquoh E and Thomas V Experimental
validation of an eddy current probe dedicated to the
multi-frequency imaging of bore holes Sensor Actuat A-
Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
crack depth using eddy current techniques with GMR-
based probes In Proceedings of the metrology for aero-
space (Metroaerospace) Benevento 4ndash5 June 2015 pp
335ndash339 New York IEEE63 Xie R Chen D Pan M et al Fatigue crack length sizing
using a novel flexible eddy current sensor array Sensors
2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
Sensors 2017 17 E57968 Abdalla A Ali K Paw J et al A novel eddy current test-
ing error compensation technique based on Mamdani-
type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
16 Measurement and Control
evaluation of their performances In Proceedings of the
15th world conference on NDT (WCNDT 2000) 2000
httpswwwndtnetarticlewcndt00papersidn591
idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
image processing techniques for nondestructive evalua-
tion In Proceedings of the international conference on
image processing Washington DC 23ndash26 October 1995
p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
rent testing system In Proceedings of the international
conference on intelligent systems engineering (ICISE)
Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 5: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/5.jpg)
Table 2 Overviews of the utilities AC signal in eddy current testing with different probe designs
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
DrsquoAngelo et al51 Multilayerperceptronneural network(NN)
Aluminum alloy(2024 T3)
Coil with aparallelepipedshape
GMR sensor Mechanical rotation ofEC probes around walltube is needed toinspect the inside pipe
Zhang et al52 Finite elementmethod (FEM)
Conductive plate Rectangularexcitation coil
Cylindrical pickupcoil
The analytical resultsagree with FEM resultsand the forwardmodel of quantitativedetection for ECTofmultilayer conductivestructure
Postolache et al53 ANNmultilayerperceptronfinite elementsimulation
Aluminum plate ECP1 has apancake type (largediameter and smallheight) and ECP2has a smalldiameter and longlength
The GMR sensor inboth cases
Implementation of theNN classificationmethod improves thedependability of defectclassification
Zeng et al9 Three-dimensionalfinite elementmesh
Aluminum andsteel fasteners
A multi-line coil GMR sensorlocated on the lineof symmetry
Simulation resultsestablish that theproposed methodimproved thesensitivity of themethod in detectionof multilayersubsurface flaws
Yang et al54 Finite elementsimulationimage fusiontechnique
Steel fastener Planar multi-linecoil
GMR sensorinstalled on the lineof symmetry
Eliminate the difficultyof detecting cracksunder steel fastenersby using thecharacteristics oftangential componentsBy and Bx of theinduced magnetic field
Yang et al55 FEM Aluminum andsteel rivets
Two unidirectionalplanar coilsoriented inorthogonaldirections
GMR sensor The experimental andsimulation outcomesindicate that themethod can detect allorientations of a flawunder the fastener
Kim and Lee56 Experimental Inconel 690 tubes Multiple coils withthree deferentangle
Multiple coils withthree deferentangle
The experimentalresults prove that thesuggested probes aremore sensitive tocircumferential defectsand sensitive to axialdefects by employingboth the new probesand the conventionalbobbin
Ye et al8 C-scan imageFEM
An Inconel 690steam generatortube
Pair of orthogonal(axial andcircumferential)coils
A circumferentialarray of 16 GMRsensors
The probe has highinspection speed andsensitivity to defectsof the axial andcircumferentialdirections However ithas very complicatedexcitation and dataacquisition system
Paw et al57 Design ofexperimentsoftware
Carbon steel pipe Encircling coil for adifferential probe(ECDP) andencircling coil foran absolute probe(ECAP)
Encircling coil for adifferential probe(ECDP) andencircling coil foran absolute probe(ECAP)
The probe cannotdetect the transversedefect
(Continued)
AbdAlla et al 5
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Shim et al58 The primarysimulated waterof a pressurizedwater reactor
Alloy 690 steamgenerator tubes
A conventionalbobbin coil probeand a conventional3-coil motorizedrotating probe
A conventionalbobbin coil probeand 3-coilmotorized rotatingprobe
The general corrosionrates of alloy withdifferent 690TT tubenoises can bepredicted from thetube noise valuemeasured by arotating pancake coilprobe
Ribeiro et al59 A conformaltransformation
Aluminum plate A rectangular crosscoil
GMR sensor The conformaltransformation usedto model the crack ofan aluminum plate topreview the acquiredvoltage signals
Yin and Xu60 Peakfrequencies ofthe sensorsignal have beenutilized tocalculate thethickness of theplate
Aluminum plates Triple-coil sensormeasurements aremade by excitingthe middle coil
Triple-coil sensormeasurements aremade by takinginduced voltagesfrom the bottomand the top coils
The results show thatthe technique is highlyimmune to lift-offvariations
Lee et al6 FEM Piping of titaniumalloy
The bobbin coil State Hall sensorarray
This technique allowsthe distribution of thedistorted EM fieldaround outsidediameter stresscorrosion cracking tobe imaged without theneed of a rotatingapparatus
Joubert et al61 C-scan images Bore hole Bobbin coil The row of pickupcoils of the sensingarray
The acquiredexperimental resultsshowed a greatsensing capability ofthe designed probe inthe 10ndash800 kHzfrequency range
Menezes et al62 Numericalsimulation FEM
Aluminum plate Pancake coil GMR sensor and apermanent magnetto put the sensorworking in itslinear range
The magnetic fluxdensity is closelycorrelated with thecrackrsquos depths wheremaximum amplitudedisturbance dependson the crack depth
Xie et al63 FEMthe NCSFalgorithm
A plate of 7075aluminum alloy
A large uniformcoil is designed onthe bottom andtop layers
64 sensing coilelements on twomiddle layers
All of the results showthat the array is notjust sensitive to microcracks howeveradditionally able tocrack length size
Suresh et al64 ANSYS-basedFEM
Ferro tube Bobbin coilcore ofiron
A hall sensor The efficiency of thesuggested bobbin coilis effective to inspectthe small diametertube
Ye et al65 FEM Two-layeraluminum
Two orthogonalcoils
Two linear arraysof GMR sensorsare located aboveand below theorthogonal coils
Experimental resultspresent that the probecan detect flawsregardless of theirorientation Thedifferential schemereduces the effect ofthe background fieldand improves SNR
(Continued)
6 Measurement and Control
current methods which rely on the sensor element thatutilities alternative current signal in ECT
Multi-frequency techniques
NDT widely uses multi-frequency techniques (MFTs)The MFT expanded the capabilities of using single-frequency testing which allows simultaneous tests
The multi-frequency process uses a composite signaland subtracts the undesirable signal12 The main unde-sirable signal caused by changes in the temperature var-iation material geometrical and probe lift-off69 MFTsare usually accomplished by combining the resultsobtained at different frequencies in the spatial domainLiu et al69 presented integrate two- (multi) frequencyinjection with dimensional spatial domain named as apyramid fusion method The SNR improved due toreduction in noise sources which demonstrated thepotential of signal enhancement via fusion method orraster scanning70 A two-dimensional (2D) surface pro-duced changes over of the impedance or impedance byraster scanning images12 Image processing techniquescan be applied to detect cracks using ECT Bartels andFisher71 proposed a multi-frequency eddy currentimage processing technique for the non destructivematerials evaluation SNR improvement up to 1100over traditional two-frequency techniques a sequenceof complex valued images generated from 2D ECT tomaximize the SNR The linear combination of theimages by Bartels and Fisher71
d x yeth THORN=X2Nf
i=1
cifi x yeth THORN
where Nf is the number of test frequencies and fi areextracted from the 2D images Results on experimentaldata demonstrate
Factors contributing to eddy currentsignals
The signal from an eddy current probe includes a col-lection of responses from defects sample geometry andprobe lift-off7273 Therefore it may be difficult to sepa-rate a single influence Adequate assessment of flaws orany other surface properties is likely when other factorsare understood7 The primary factors influencing theresponse of an eddy current probe are explained in thissection
Frequency
Eddy current response is strongly affected by the fre-quency chosen for the investigation This factor shouldbe appropriately selected by the operator based on thecrack detection sample such as lower frequencies forbulk characterization and higher frequencies for sur-face characterization
Many authors such as Ditchburn et al74 andThollon et al75 utilize this range and they suggestedthe range of 100Hzndash10MHz as standard inspection fre-quencies in ECT19 However a few authors such asOwston76 characterized high frequency at 25MHz forthin metallic coatings and detecting surface defects Inthe inspection of ferromagnetic materials low-frequency tests are applied to penetrate into the testspecimen and compensate for their high permeability
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Lee et al66 FEM The steel (SS400)plate
The two probesmeasure thecurrent and thevoltage todetermine the coilimpedance
A coil winding anda ferromagneticcore are used as asensing element
A low frequency hasbeen applied for deepinternal inspection of aferromagnetic material
Rifai et al67 FEM Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
An array of GMRsensors
It has verycomplicated excitationand data acquisitionsystem
Xin et al21 3D FEM Steam generatortubes
Three identicalwindings locatedon the samephysical axes 1201apart
The responsesignal can be pickedup by bobbin coil inthe center
The probe is sensitiveto flaws of allorientations in thetube wall and the linescan data enable rapidinspection rates
Abdalla et al68 Fuzzyinterferencesystem
Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
Hybrid absoluteand differentialprobe
The Mamdani-typefuzzy use to integratedabsolute anddifferential probe
GMR giant magneto resistive EC eddy current ECP eddy current probe ECT eddy current testing ANN artificial neural network NCSF
normalized crack signal fitting SNR signal-to-noise ratio
AbdAlla et al 7
Ramos et al77 have studied the detection of subsurfaceflaws relating to the characterization of depth profilesof the subsurface defects in aluminum plates78
However the high frequency applied for the inspectionof small discontinuities occured in the near-surface7980
Table 3 summarizes the impact of different frequencyvalues on the depth of penetration of severalmaterials81
Conductivity of test material
Electrical conductivity and the magnetic permeabilityof the test objects of the material depend on the micro-structure for example grain structure the presence ofa second phase work hardening and heat treatmentGreater conductivity of a material such as copper andaluminum will lead to greater flow of the eddy currentsand hence the probe coil resistance
In great conductive materials defects or cracks pro-duce a high signal as an impedance plane as illustratedin Figure 8 Furthermore the phase lag between thelift-off line and the defect is f1 f282 which is signifi-cant as indicated in Figure 7
However the penetration depth of highly conductivematerials at a fixed frequency is lower than in lowerconductive materials such as stainless steel and steelThe conductivity of the different materials can be mea-sured using the International Annealed CopperStandard (IACS) Table 4 summarizes the conductivityof common elements83
Magnetic permeability
ECT signals are significantly affected by ferromagneticmaterials due to the increase in flux produced by thesignificant relative permeability of certain materialssuch as stainless steel or carbon steel84 The permeabil-ity of material changes the coupling of the coil with theconductive specimen and subsequently affects the reac-tance of the coil Permeability has a significant effecton the ECT compared to conductivity where the crackdetection has no potential when permeability changesrandomly8586
Lift-off
ECT is strongly affected by the amount of lift-offwhich can be defined as the separation distancebetween the excitation coil surface and the conductingmaterial surface This distance changes the mutualinductance of the circuits as the lift-off increases theamplitude of the eddy current induces emf as the sec-ondary coil decreases which can result in the misinter-pretation of the signals as flaws At a significant lift-off no detectable emf will be induced in the secondarycoil due to the sample chosen818788 This effect is par-ticularly prominent when using sinusoidal excitationswhich lose sensitivity beyond 5mm89 Although it isnot required to have a zero lift-off it is imperative totry and maintain a consistent lift-off since the variationin coupling between probe and test piece will
Table 3 Typical depths of penetration
Metals 368 d
1 kHz 4 kHz 16 kHz 64 kHz 256 kHz
Copper 0082 0041 0021 0010 0005Uranium 0334 0167 0084 0042 0021Zirconium 0516 0258 0129 0065 00327075 T-6 0144 0072 0036 0018 0009Steel 0019 0009 00048 00024 000126061 T-6 0126 0063 0032 0016 0008Magnesium 0134 0067 0034 0017 0008
Figure 7 Lift-off curves and crack displacement at impedanceplane82
Table 4 Conductivity and resistivity of conductive materials
Material Conductivity ( IACS)
Copper 10000Gold 7000Aluminum 6061 4200Brass 2800Copper-nickel 90ndash10 910Cast steel 1070Inconel 600 172Silver 10500Stainless steel 304 239Zircalloy-2 240
8 Measurement and Control
significantly affect the received signal Table 5 lists pre-vious studies that have considered the lift-off issue
Figure 8 illustrates the offset position of the tubeinside the bobbin coils Lift-off is explained using a coilwhose axis is normal to the test piece However lift-offalso occur when the test is conducted using encirclingor bobbin probes The vibration of the rod or the tubeinside the probe generates noise which presents difficul-ties when inspections are conducted117
There are methods for lift-off compensation whenthe eddy currents are used in order to detect cracks andlift-off becomes an undesired variable For instanceYin et al100 researched dual excitation frequencies andcoil design to minimize the lift-off effect Researchabout processing the data was also conducted to mini-mize the lift-off effect Lopez et al118 proposed the useof wavelets to remove the eddy current probe wobblenoise from the steam generatorrsquos tubes Reduction inthe lift-off effect was also attempted by optimizing thecoil design and sensor array119
Tian et al101 had researched the reduction of lift-offeffects via normalization techniques The technique canbe applied to the measurement of metal thicknessbeneath the non-conductive coatings and to the mea-surement of microstructure and strainstress where theoutput is highly sensitive to the lift-off effect Table 5illustrates previous studies that considered the lift-offissue
Optimization of ECT probes design
According to the state of the art the probability ofdetection techniques of eddy current techniques can beimproved by the optimizing the probe design In recentyears several studies have focused on optimization ofthe ECT probe design for defect detection Rochaet al120 proposed an ECT probe design based onvelocity-induced eddy currents to detect surface defectsCommercial simulation software was used for the opti-mization and design of the probe Their experimentalresults confirmed that the proposed probe design wasable to detect defects in the conductive materials where
motion is involved120 A biorthogonal rectangular probewas developed by Zhang et al52 Simulation resultsshowed the new biorthogonal rectangular probe has alesser effect on the lift-off with higher sensitivity detec-tion Meanwhile Cardoso et al121 optimized the sensorconfiguration in the eddy current probe design A finiteelement modeling simulation was used to measure theaccuracy detection of the probe design Comparison ofexperimental and simulation date proved the accuracyof the proposed probe Research by Rosado et al122
reported the influence of the geometrical parameters ofan eddy currents planar probe in ECT The findingsshowed that modifications of the studied parameterscould substantially improve the probe performance Ina different study Ghafari et al123 proposed a methodol-ogy for determining the optimal sensor parameters forECT probe design Simulation results showed the pro-posed sensor geometry improved the probe sensitivity todepth changes in a crack
Chen and Miya124 proposed ECT probes based onsimplified detectability analysis method and a ring cur-rent model The optimal probe designs are developed inview of the combinations of these excitation and pickupcoils by comparing their detectabilities evaluated withthe simplified analysis method Aldrin et al125 pre-sented a comprehensive approach to perform model-based inversion of crack characteristics using bolt holeeddy current techniques Signal processing algorithmswere developed for wide range of crack sizes andshapes including mid-bore corner and through thick-ness crack types Inversion results for select mid-borethrough and corner crack specimens are presentedwhere sizing performance was found to be satisfactoryin general but also depend on the size and location ofthe flaw Table 6 summarizes previous studies on theoptimization of the ECT probe design
Application of artificial intelligent in eddycurrent
GMR sensor is used in ECT to pick up the MF in thepresence of the defect As the mutual inductance
Figure 8 Wobble simulation a bobbin coil in an offset position to a tube87
AbdAlla et al 9
Table 5 Review of lift-off compensation techniques
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Fan et al90 Model-based inversionalgorithm
Air-core coil Sinusoidal signal Three plates ofcopper aluminumand stainless steel
Lift-off elimination formodel-based inversionmethod
Dziczkowskiet al91
Excrementalmathematical model
Coil Sine excitation atlow frequencies isapplied
Conductivematerial
To eliminate the lift-offbetween the coil and thespecimen under test
Lu et al92 Dodd and Deedsmethod
Coaxiallyarrangedcoils
Frequencysweeping
The metal plate Reducing the lift-off effecton permeabilitymeasurement formagnetic plates frommulti-frequency inductiondata
Ribeiroet al93
Lift-off correctionbased on the spatialspectral behavior ofeddy current
GMR The probeexcitation currentwas set to 100 mAat 5 kHz
A duralumin2024 T3 plate
Increase the signal-to-noise ratio ofmeasurements
Kral et al72 Linear transformermodel to investigatethe effect of the lift-off
GMR sensor Pulse signal Metallic plate Investigate the origin andthe characteristicsassociated with the lift-offpoint of intersection(LOI)
Wu et al94 Signal analysis base onmulti-frequency phasesignature
Coil Sinusoidal signalwith multi-frequency
Copper andaluminum plates
Presented a simple modelfor metal thicknessmeasurement that isunaffected by lift-off effectto obtain the thickness
Yin and Xu60 Using peak frequenciesof the sensor signal toestimate the thickness(h)
Bottom andtop coils
Swap frequency Aluminum plates Designed a triple-coilsensor operating as twocoil pairs and in a multi-frequency mode tomeasure plate thickness
Huang andWu95
Relative magnetic fluxchanging rate (s)
Coil Pulse signal and thesquare wave usedas excitationcurrent
Four 16Mn steelplates
Ferromagnetic objecttesting used to removethe lift-off effect withoutextra measurement ofreference signals
Yu et al96 Measure the defectdimension base onslope of the linearcurve of the peakvalue
Hall sensor Pulse signal 7075 and 2024aluminum alloyplates
Reduce the lift-off noisefor detection of defectdepth or width
Zhu et al97 Hough transform wasused
Coil Sinusoidal signal Annealing copperplate
Investigate the lift-offeffect in the normalizedimpedance plane
LopesRibeiroet al98
The theory of thelinear transformer
GMR Sinusoidalexcitation
Aluminum plates oftype AL3105-H12
Measurement of thethickness of a metallicnon-ferromagnetic plate
Tian andSophian99
Normalizationtechnique
Coil Pulse signal Two plates ofaluminum
Minimize lift-off impact Itcould be utilized formetal thicknessmeasurement and formicrostructure analysis
Yin et al100 Analytical model thatdescribes theinductance
Air-coredcoil
Multi-frequency Conducting plate The phase signature ofsuch a sensor is virtuallylift-off independent
Tian et al101 Analytical model basedon the extendedtruncated regioneigenfunctionexpansion
Hall sensor Pulse signal Plate conductorwith arbitrarynumber of layers
Analyze LOI with respectto different PECconfigurations and build
(Continued)
10 Measurement and Control
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wei et al102 U-shaped ACFMsystem
Coils The signalgenerator providesa 6 kHz sinevoltage waveformsignal
Mild steel sheetworkpiece with acrack Thelongitudinal
Determine an optimal lift-off value for a specific U-shaped ACFM system
Gotohet al103
The 3D edge-basedhexahedral nonlinearFEM
A transversetype Hallelement
The excitingfrequency is set to1 kHz
Nickel-coated steelplate
To inspect the thicknessof nickel-layer on steelplate without the impactof lift-off
LopesRibeiroet al98
A linear transformermodel
GMR sensor Sinusoidal signal Aluminum plates Measures the thickness ofmetallic
Gotohet al104
Electromagneticacoustic transducer
Transducercoil
A 250 kHzsinusoidal burstcurrent drives theEMAT coil
Steel plate Suitable lift-off value forthis specific EMAT systemshould be around 2 mm
Li et al105 The relative variationof magnetic flux (s)
Coil Pulse signal Metal plate Measurement of lift-off isextracted from themiddle part of the PECTsignal
Anganiet al17
Transient eddy currentoscillations
Hall sensor Pulses of the 50duty cycle with therepetition rate of2 s
Stainless steel plate Eliminate the falseindications due to the lift-off variations in thethickness measurement ofthe test material
Wanget al106
The slope of the lift-off curve (SLOC)feature of the eddycurrent sensor (ECS)
Sensor coil The workingfrequency (1 MHz)
Copper film Immunity to lift-offvariation
Wanget al107
Pulsed eddy current(PEC) responses
Hall sensor Pulse signal Nonmagnetic plate Study behaviors of lift-offpoint of intersectionpoints due to a plate withvarying conductivity andthickness
He et al108 Principal componentanalysis and supportvector machine
Coil The excitationpulse used 196 V100 Hz
Two 3003vAlndashMnalloy plate
Defect-automatedclassification
Aminehet al109
Blind deconvolutionalgorithm and awavelet networkinversion method
A tinyinductioncoil sensor
Alternating current Metal surface Lift-off evaluation andsurface crack signalrestoration
HoshikawaandKoyama110
Improvements inprobe design (h)
Tangentialcoil
Alternative current Brass plate To monitor the probe lift-off to avoid the probe notdetecting flaws in thematerial
Lu et al111 Multi-frequencyinductance spectraldata
Air-core coil Sinusoidal signal Metallic plates Proposed a new index tocompensate lift-offvariation linked to thethickness At different lift-offs the accuracy of thethickness measurementsproved to be more than98
Lu et al92112 Dodd and Deedsmethod
Air-core coil Sinusoidal signal Magnetic plates Proposed a new modifiedpermeabilitymeasurement techniquefor magnetic plates frommulti-frequency inductiondata The permeabilityerror caused by lift-offcan be reduced within75
(Continued)
AbdAlla et al 11
between the coil and the specimen is sensitive to thelift-off any changes in lift-off must be compensated forin order to achieve the accurate depth of defectmeasurements
The fuzzy logic is instrumental for enhancing lift-offcompensation Artificial intelligent used is in manytypes of research in ECT There are two common fuzzyinference methods Mamdanirsquos fuzzy inference methodand TakagindashSugenondashKang a method of fuzzy infer-ence The output from Mamdani fuzzy inference sys-tem (FIS) can be easily transformed into a linguisticform as the inference result before defuzzification135
The main difference between Mamdani-type FIS andSugeno-type FIS resides in the way the crisp output isgenerated from the fuzzy inputs136 While Mamdani-type FIS uses the technique of defuzzification of afuzzy output Sugeno-type FIS uses weighted averageto compute the crisp output137 so the Sugenorsquos output
membership functions are either linear or constant butMamdanirsquos inference expects the output membershipfunctions to be fuzzy sets which are appropriate forcomparing the peak of sensors Based on artificial intel-ligent technology a lot of research has been done bymany researchers about ECT as shown in Table 7
Conclusion
This paper introduces an overview of the eddy currentprobes structure and error compensation techniques toobtain an ideal measuring depth of defect for the mate-rial under test There are two techniques to sense thechange in MF air coil and magnetoresistance sensorAir coil is less sensitive at low frequency which requiredto inspect the surface of pipe and plate This particularpaper also reviews the manufacturer in the industry toproduce the commercial probes for practical tube
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wen et al113 Lift-off point ofintersection has beenapplied to determinethickness or evaluatedefects
Air-core coil PEC Metallic plates The effective signalfeature indicates that thefrequency and amplitudeat the LOI are decreasedwith sample thicknessincreasing In addition thefrequency LOI can beused to measure thesample thicknessfunctioning similarly totime domain LOI bymonitoring the frequencyand amplitude
Kral et al72 Linear transformermodel
Magnetoresistivesensor probe
Pulsed excitation No ferromagneticmetallic plates
The timederivative ofthe
magnetization curvesobtained for differentgaps between theexcitation coil and theplate was proposed
Yin et al114 Simplified modelrelated to thicknessconductivity and lift-offs
Air-core coil Sinusoidal signal Nonmagneticmetallic plate
Present the model withtwo independentparameters for a range ofthickness conductivityand lift-offs
Wei et al115 Design alternatingcurrent fieldmeasurement (ACFM)system
U-shapedprobe
Sinusoidal signal nonmagneticmetallic plate
Determine the optimum-induced frequency basedon the signal acquisitionand the measurementaccuracy of an ACFMsystem
Fan et al116 PEC spectral responseto serve as robustfeatures for thicknessevaluation
Hall sensor PEC Nonmagneticmetallic plate
Propose to apply thephase of PEC spectralresponse from a Hallsensor rather than pickupcoilndashbased probe tothickness measurementfor the elimination of lift-off effect
GMR giant magneto resistive ACFM alternating current filed measurement FEM finite element method PECT pulsed eddy current thermography
12 Measurement and Control
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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from bend regions of steam generator tubes of prototype
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using rotating magnetic field eddy-current probe IEEE T
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tion of defects in aluminum plates using GMR probes
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field sensors based on giant magnetoresistance (GMR)
technology applications in electrical current sensing Sen-
sors 2009 9 7919ndash794243 Deng Y and Liu X Electromagnetic imaging methods for
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11774ndash1180844 Jander A Smith C and Schneider R Magnetoresistive
sensors for nondestructive evaluation In Proceedings
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lingham WA International Society for Optics and
Photonics45 Li W Yuan Xa Chen G et al A feed-through ACFM
probe with sensor array for pipe string cracks inspection
NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
of the sensors 2010 IEEE Kona HI 1ndash4 November
2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
signal analysis application to the experimental detection
and characterization of deep flaws in highly conductive
materials NDTampE Int 1997 30 163ndash17048 Lebrun B Jayet Y and Baboux JC Pulsed eddy current
application to the detection of deep cracks Mater Eval
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eddy current GMR data on aircraft structures NDTampE
Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
ductivity of metallic layers from pulsed eddy-current mea-
surements Rev Sci Instrum 1996 67 3965ndash397251 DrsquoAngelo G Laracca M Rampone S et al Fast eddy cur-
rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
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1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
artificial neural networks Comp Stand Inter 2011 33
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54 Yang G Zeng Z Deng Y et al 3D EC-GMR sensor sys-
tem for detection of subsurface defects at steel fastener
sites NDTampE Int 2012 50 20ndash2855 Yang G Dib G Udpa L et al Rotating field EC-GMR
sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
current testing J Fund Appl Sci 2018 10 949ndash96458 Shim H-S Choi MS Lee DH et al A prediction method
for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
tions IEEE T Instrum Meas 2016 65 164ndash16961 Joubert PY Vourcrsquoh E and Thomas V Experimental
validation of an eddy current probe dedicated to the
multi-frequency imaging of bore holes Sensor Actuat A-
Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
crack depth using eddy current techniques with GMR-
based probes In Proceedings of the metrology for aero-
space (Metroaerospace) Benevento 4ndash5 June 2015 pp
335ndash339 New York IEEE63 Xie R Chen D Pan M et al Fatigue crack length sizing
using a novel flexible eddy current sensor array Sensors
2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
Sensors 2017 17 E57968 Abdalla A Ali K Paw J et al A novel eddy current test-
ing error compensation technique based on Mamdani-
type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
16 Measurement and Control
evaluation of their performances In Proceedings of the
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httpswwwndtnetarticlewcndt00papersidn591
idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
image processing techniques for nondestructive evalua-
tion In Proceedings of the international conference on
image processing Washington DC 23ndash26 October 1995
p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
rent testing system In Proceedings of the international
conference on intelligent systems engineering (ICISE)
Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 6: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/6.jpg)
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Shim et al58 The primarysimulated waterof a pressurizedwater reactor
Alloy 690 steamgenerator tubes
A conventionalbobbin coil probeand a conventional3-coil motorizedrotating probe
A conventionalbobbin coil probeand 3-coilmotorized rotatingprobe
The general corrosionrates of alloy withdifferent 690TT tubenoises can bepredicted from thetube noise valuemeasured by arotating pancake coilprobe
Ribeiro et al59 A conformaltransformation
Aluminum plate A rectangular crosscoil
GMR sensor The conformaltransformation usedto model the crack ofan aluminum plate topreview the acquiredvoltage signals
Yin and Xu60 Peakfrequencies ofthe sensorsignal have beenutilized tocalculate thethickness of theplate
Aluminum plates Triple-coil sensormeasurements aremade by excitingthe middle coil
Triple-coil sensormeasurements aremade by takinginduced voltagesfrom the bottomand the top coils
The results show thatthe technique is highlyimmune to lift-offvariations
Lee et al6 FEM Piping of titaniumalloy
The bobbin coil State Hall sensorarray
This technique allowsthe distribution of thedistorted EM fieldaround outsidediameter stresscorrosion cracking tobe imaged without theneed of a rotatingapparatus
Joubert et al61 C-scan images Bore hole Bobbin coil The row of pickupcoils of the sensingarray
The acquiredexperimental resultsshowed a greatsensing capability ofthe designed probe inthe 10ndash800 kHzfrequency range
Menezes et al62 Numericalsimulation FEM
Aluminum plate Pancake coil GMR sensor and apermanent magnetto put the sensorworking in itslinear range
The magnetic fluxdensity is closelycorrelated with thecrackrsquos depths wheremaximum amplitudedisturbance dependson the crack depth
Xie et al63 FEMthe NCSFalgorithm
A plate of 7075aluminum alloy
A large uniformcoil is designed onthe bottom andtop layers
64 sensing coilelements on twomiddle layers
All of the results showthat the array is notjust sensitive to microcracks howeveradditionally able tocrack length size
Suresh et al64 ANSYS-basedFEM
Ferro tube Bobbin coilcore ofiron
A hall sensor The efficiency of thesuggested bobbin coilis effective to inspectthe small diametertube
Ye et al65 FEM Two-layeraluminum
Two orthogonalcoils
Two linear arraysof GMR sensorsare located aboveand below theorthogonal coils
Experimental resultspresent that the probecan detect flawsregardless of theirorientation Thedifferential schemereduces the effect ofthe background fieldand improves SNR
(Continued)
6 Measurement and Control
current methods which rely on the sensor element thatutilities alternative current signal in ECT
Multi-frequency techniques
NDT widely uses multi-frequency techniques (MFTs)The MFT expanded the capabilities of using single-frequency testing which allows simultaneous tests
The multi-frequency process uses a composite signaland subtracts the undesirable signal12 The main unde-sirable signal caused by changes in the temperature var-iation material geometrical and probe lift-off69 MFTsare usually accomplished by combining the resultsobtained at different frequencies in the spatial domainLiu et al69 presented integrate two- (multi) frequencyinjection with dimensional spatial domain named as apyramid fusion method The SNR improved due toreduction in noise sources which demonstrated thepotential of signal enhancement via fusion method orraster scanning70 A two-dimensional (2D) surface pro-duced changes over of the impedance or impedance byraster scanning images12 Image processing techniquescan be applied to detect cracks using ECT Bartels andFisher71 proposed a multi-frequency eddy currentimage processing technique for the non destructivematerials evaluation SNR improvement up to 1100over traditional two-frequency techniques a sequenceof complex valued images generated from 2D ECT tomaximize the SNR The linear combination of theimages by Bartels and Fisher71
d x yeth THORN=X2Nf
i=1
cifi x yeth THORN
where Nf is the number of test frequencies and fi areextracted from the 2D images Results on experimentaldata demonstrate
Factors contributing to eddy currentsignals
The signal from an eddy current probe includes a col-lection of responses from defects sample geometry andprobe lift-off7273 Therefore it may be difficult to sepa-rate a single influence Adequate assessment of flaws orany other surface properties is likely when other factorsare understood7 The primary factors influencing theresponse of an eddy current probe are explained in thissection
Frequency
Eddy current response is strongly affected by the fre-quency chosen for the investigation This factor shouldbe appropriately selected by the operator based on thecrack detection sample such as lower frequencies forbulk characterization and higher frequencies for sur-face characterization
Many authors such as Ditchburn et al74 andThollon et al75 utilize this range and they suggestedthe range of 100Hzndash10MHz as standard inspection fre-quencies in ECT19 However a few authors such asOwston76 characterized high frequency at 25MHz forthin metallic coatings and detecting surface defects Inthe inspection of ferromagnetic materials low-frequency tests are applied to penetrate into the testspecimen and compensate for their high permeability
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Lee et al66 FEM The steel (SS400)plate
The two probesmeasure thecurrent and thevoltage todetermine the coilimpedance
A coil winding anda ferromagneticcore are used as asensing element
A low frequency hasbeen applied for deepinternal inspection of aferromagnetic material
Rifai et al67 FEM Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
An array of GMRsensors
It has verycomplicated excitationand data acquisitionsystem
Xin et al21 3D FEM Steam generatortubes
Three identicalwindings locatedon the samephysical axes 1201apart
The responsesignal can be pickedup by bobbin coil inthe center
The probe is sensitiveto flaws of allorientations in thetube wall and the linescan data enable rapidinspection rates
Abdalla et al68 Fuzzyinterferencesystem
Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
Hybrid absoluteand differentialprobe
The Mamdani-typefuzzy use to integratedabsolute anddifferential probe
GMR giant magneto resistive EC eddy current ECP eddy current probe ECT eddy current testing ANN artificial neural network NCSF
normalized crack signal fitting SNR signal-to-noise ratio
AbdAlla et al 7
Ramos et al77 have studied the detection of subsurfaceflaws relating to the characterization of depth profilesof the subsurface defects in aluminum plates78
However the high frequency applied for the inspectionof small discontinuities occured in the near-surface7980
Table 3 summarizes the impact of different frequencyvalues on the depth of penetration of severalmaterials81
Conductivity of test material
Electrical conductivity and the magnetic permeabilityof the test objects of the material depend on the micro-structure for example grain structure the presence ofa second phase work hardening and heat treatmentGreater conductivity of a material such as copper andaluminum will lead to greater flow of the eddy currentsand hence the probe coil resistance
In great conductive materials defects or cracks pro-duce a high signal as an impedance plane as illustratedin Figure 8 Furthermore the phase lag between thelift-off line and the defect is f1 f282 which is signifi-cant as indicated in Figure 7
However the penetration depth of highly conductivematerials at a fixed frequency is lower than in lowerconductive materials such as stainless steel and steelThe conductivity of the different materials can be mea-sured using the International Annealed CopperStandard (IACS) Table 4 summarizes the conductivityof common elements83
Magnetic permeability
ECT signals are significantly affected by ferromagneticmaterials due to the increase in flux produced by thesignificant relative permeability of certain materialssuch as stainless steel or carbon steel84 The permeabil-ity of material changes the coupling of the coil with theconductive specimen and subsequently affects the reac-tance of the coil Permeability has a significant effecton the ECT compared to conductivity where the crackdetection has no potential when permeability changesrandomly8586
Lift-off
ECT is strongly affected by the amount of lift-offwhich can be defined as the separation distancebetween the excitation coil surface and the conductingmaterial surface This distance changes the mutualinductance of the circuits as the lift-off increases theamplitude of the eddy current induces emf as the sec-ondary coil decreases which can result in the misinter-pretation of the signals as flaws At a significant lift-off no detectable emf will be induced in the secondarycoil due to the sample chosen818788 This effect is par-ticularly prominent when using sinusoidal excitationswhich lose sensitivity beyond 5mm89 Although it isnot required to have a zero lift-off it is imperative totry and maintain a consistent lift-off since the variationin coupling between probe and test piece will
Table 3 Typical depths of penetration
Metals 368 d
1 kHz 4 kHz 16 kHz 64 kHz 256 kHz
Copper 0082 0041 0021 0010 0005Uranium 0334 0167 0084 0042 0021Zirconium 0516 0258 0129 0065 00327075 T-6 0144 0072 0036 0018 0009Steel 0019 0009 00048 00024 000126061 T-6 0126 0063 0032 0016 0008Magnesium 0134 0067 0034 0017 0008
Figure 7 Lift-off curves and crack displacement at impedanceplane82
Table 4 Conductivity and resistivity of conductive materials
Material Conductivity ( IACS)
Copper 10000Gold 7000Aluminum 6061 4200Brass 2800Copper-nickel 90ndash10 910Cast steel 1070Inconel 600 172Silver 10500Stainless steel 304 239Zircalloy-2 240
8 Measurement and Control
significantly affect the received signal Table 5 lists pre-vious studies that have considered the lift-off issue
Figure 8 illustrates the offset position of the tubeinside the bobbin coils Lift-off is explained using a coilwhose axis is normal to the test piece However lift-offalso occur when the test is conducted using encirclingor bobbin probes The vibration of the rod or the tubeinside the probe generates noise which presents difficul-ties when inspections are conducted117
There are methods for lift-off compensation whenthe eddy currents are used in order to detect cracks andlift-off becomes an undesired variable For instanceYin et al100 researched dual excitation frequencies andcoil design to minimize the lift-off effect Researchabout processing the data was also conducted to mini-mize the lift-off effect Lopez et al118 proposed the useof wavelets to remove the eddy current probe wobblenoise from the steam generatorrsquos tubes Reduction inthe lift-off effect was also attempted by optimizing thecoil design and sensor array119
Tian et al101 had researched the reduction of lift-offeffects via normalization techniques The technique canbe applied to the measurement of metal thicknessbeneath the non-conductive coatings and to the mea-surement of microstructure and strainstress where theoutput is highly sensitive to the lift-off effect Table 5illustrates previous studies that considered the lift-offissue
Optimization of ECT probes design
According to the state of the art the probability ofdetection techniques of eddy current techniques can beimproved by the optimizing the probe design In recentyears several studies have focused on optimization ofthe ECT probe design for defect detection Rochaet al120 proposed an ECT probe design based onvelocity-induced eddy currents to detect surface defectsCommercial simulation software was used for the opti-mization and design of the probe Their experimentalresults confirmed that the proposed probe design wasable to detect defects in the conductive materials where
motion is involved120 A biorthogonal rectangular probewas developed by Zhang et al52 Simulation resultsshowed the new biorthogonal rectangular probe has alesser effect on the lift-off with higher sensitivity detec-tion Meanwhile Cardoso et al121 optimized the sensorconfiguration in the eddy current probe design A finiteelement modeling simulation was used to measure theaccuracy detection of the probe design Comparison ofexperimental and simulation date proved the accuracyof the proposed probe Research by Rosado et al122
reported the influence of the geometrical parameters ofan eddy currents planar probe in ECT The findingsshowed that modifications of the studied parameterscould substantially improve the probe performance Ina different study Ghafari et al123 proposed a methodol-ogy for determining the optimal sensor parameters forECT probe design Simulation results showed the pro-posed sensor geometry improved the probe sensitivity todepth changes in a crack
Chen and Miya124 proposed ECT probes based onsimplified detectability analysis method and a ring cur-rent model The optimal probe designs are developed inview of the combinations of these excitation and pickupcoils by comparing their detectabilities evaluated withthe simplified analysis method Aldrin et al125 pre-sented a comprehensive approach to perform model-based inversion of crack characteristics using bolt holeeddy current techniques Signal processing algorithmswere developed for wide range of crack sizes andshapes including mid-bore corner and through thick-ness crack types Inversion results for select mid-borethrough and corner crack specimens are presentedwhere sizing performance was found to be satisfactoryin general but also depend on the size and location ofthe flaw Table 6 summarizes previous studies on theoptimization of the ECT probe design
Application of artificial intelligent in eddycurrent
GMR sensor is used in ECT to pick up the MF in thepresence of the defect As the mutual inductance
Figure 8 Wobble simulation a bobbin coil in an offset position to a tube87
AbdAlla et al 9
Table 5 Review of lift-off compensation techniques
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Fan et al90 Model-based inversionalgorithm
Air-core coil Sinusoidal signal Three plates ofcopper aluminumand stainless steel
Lift-off elimination formodel-based inversionmethod
Dziczkowskiet al91
Excrementalmathematical model
Coil Sine excitation atlow frequencies isapplied
Conductivematerial
To eliminate the lift-offbetween the coil and thespecimen under test
Lu et al92 Dodd and Deedsmethod
Coaxiallyarrangedcoils
Frequencysweeping
The metal plate Reducing the lift-off effecton permeabilitymeasurement formagnetic plates frommulti-frequency inductiondata
Ribeiroet al93
Lift-off correctionbased on the spatialspectral behavior ofeddy current
GMR The probeexcitation currentwas set to 100 mAat 5 kHz
A duralumin2024 T3 plate
Increase the signal-to-noise ratio ofmeasurements
Kral et al72 Linear transformermodel to investigatethe effect of the lift-off
GMR sensor Pulse signal Metallic plate Investigate the origin andthe characteristicsassociated with the lift-offpoint of intersection(LOI)
Wu et al94 Signal analysis base onmulti-frequency phasesignature
Coil Sinusoidal signalwith multi-frequency
Copper andaluminum plates
Presented a simple modelfor metal thicknessmeasurement that isunaffected by lift-off effectto obtain the thickness
Yin and Xu60 Using peak frequenciesof the sensor signal toestimate the thickness(h)
Bottom andtop coils
Swap frequency Aluminum plates Designed a triple-coilsensor operating as twocoil pairs and in a multi-frequency mode tomeasure plate thickness
Huang andWu95
Relative magnetic fluxchanging rate (s)
Coil Pulse signal and thesquare wave usedas excitationcurrent
Four 16Mn steelplates
Ferromagnetic objecttesting used to removethe lift-off effect withoutextra measurement ofreference signals
Yu et al96 Measure the defectdimension base onslope of the linearcurve of the peakvalue
Hall sensor Pulse signal 7075 and 2024aluminum alloyplates
Reduce the lift-off noisefor detection of defectdepth or width
Zhu et al97 Hough transform wasused
Coil Sinusoidal signal Annealing copperplate
Investigate the lift-offeffect in the normalizedimpedance plane
LopesRibeiroet al98
The theory of thelinear transformer
GMR Sinusoidalexcitation
Aluminum plates oftype AL3105-H12
Measurement of thethickness of a metallicnon-ferromagnetic plate
Tian andSophian99
Normalizationtechnique
Coil Pulse signal Two plates ofaluminum
Minimize lift-off impact Itcould be utilized formetal thicknessmeasurement and formicrostructure analysis
Yin et al100 Analytical model thatdescribes theinductance
Air-coredcoil
Multi-frequency Conducting plate The phase signature ofsuch a sensor is virtuallylift-off independent
Tian et al101 Analytical model basedon the extendedtruncated regioneigenfunctionexpansion
Hall sensor Pulse signal Plate conductorwith arbitrarynumber of layers
Analyze LOI with respectto different PECconfigurations and build
(Continued)
10 Measurement and Control
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wei et al102 U-shaped ACFMsystem
Coils The signalgenerator providesa 6 kHz sinevoltage waveformsignal
Mild steel sheetworkpiece with acrack Thelongitudinal
Determine an optimal lift-off value for a specific U-shaped ACFM system
Gotohet al103
The 3D edge-basedhexahedral nonlinearFEM
A transversetype Hallelement
The excitingfrequency is set to1 kHz
Nickel-coated steelplate
To inspect the thicknessof nickel-layer on steelplate without the impactof lift-off
LopesRibeiroet al98
A linear transformermodel
GMR sensor Sinusoidal signal Aluminum plates Measures the thickness ofmetallic
Gotohet al104
Electromagneticacoustic transducer
Transducercoil
A 250 kHzsinusoidal burstcurrent drives theEMAT coil
Steel plate Suitable lift-off value forthis specific EMAT systemshould be around 2 mm
Li et al105 The relative variationof magnetic flux (s)
Coil Pulse signal Metal plate Measurement of lift-off isextracted from themiddle part of the PECTsignal
Anganiet al17
Transient eddy currentoscillations
Hall sensor Pulses of the 50duty cycle with therepetition rate of2 s
Stainless steel plate Eliminate the falseindications due to the lift-off variations in thethickness measurement ofthe test material
Wanget al106
The slope of the lift-off curve (SLOC)feature of the eddycurrent sensor (ECS)
Sensor coil The workingfrequency (1 MHz)
Copper film Immunity to lift-offvariation
Wanget al107
Pulsed eddy current(PEC) responses
Hall sensor Pulse signal Nonmagnetic plate Study behaviors of lift-offpoint of intersectionpoints due to a plate withvarying conductivity andthickness
He et al108 Principal componentanalysis and supportvector machine
Coil The excitationpulse used 196 V100 Hz
Two 3003vAlndashMnalloy plate
Defect-automatedclassification
Aminehet al109
Blind deconvolutionalgorithm and awavelet networkinversion method
A tinyinductioncoil sensor
Alternating current Metal surface Lift-off evaluation andsurface crack signalrestoration
HoshikawaandKoyama110
Improvements inprobe design (h)
Tangentialcoil
Alternative current Brass plate To monitor the probe lift-off to avoid the probe notdetecting flaws in thematerial
Lu et al111 Multi-frequencyinductance spectraldata
Air-core coil Sinusoidal signal Metallic plates Proposed a new index tocompensate lift-offvariation linked to thethickness At different lift-offs the accuracy of thethickness measurementsproved to be more than98
Lu et al92112 Dodd and Deedsmethod
Air-core coil Sinusoidal signal Magnetic plates Proposed a new modifiedpermeabilitymeasurement techniquefor magnetic plates frommulti-frequency inductiondata The permeabilityerror caused by lift-offcan be reduced within75
(Continued)
AbdAlla et al 11
between the coil and the specimen is sensitive to thelift-off any changes in lift-off must be compensated forin order to achieve the accurate depth of defectmeasurements
The fuzzy logic is instrumental for enhancing lift-offcompensation Artificial intelligent used is in manytypes of research in ECT There are two common fuzzyinference methods Mamdanirsquos fuzzy inference methodand TakagindashSugenondashKang a method of fuzzy infer-ence The output from Mamdani fuzzy inference sys-tem (FIS) can be easily transformed into a linguisticform as the inference result before defuzzification135
The main difference between Mamdani-type FIS andSugeno-type FIS resides in the way the crisp output isgenerated from the fuzzy inputs136 While Mamdani-type FIS uses the technique of defuzzification of afuzzy output Sugeno-type FIS uses weighted averageto compute the crisp output137 so the Sugenorsquos output
membership functions are either linear or constant butMamdanirsquos inference expects the output membershipfunctions to be fuzzy sets which are appropriate forcomparing the peak of sensors Based on artificial intel-ligent technology a lot of research has been done bymany researchers about ECT as shown in Table 7
Conclusion
This paper introduces an overview of the eddy currentprobes structure and error compensation techniques toobtain an ideal measuring depth of defect for the mate-rial under test There are two techniques to sense thechange in MF air coil and magnetoresistance sensorAir coil is less sensitive at low frequency which requiredto inspect the surface of pipe and plate This particularpaper also reviews the manufacturer in the industry toproduce the commercial probes for practical tube
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wen et al113 Lift-off point ofintersection has beenapplied to determinethickness or evaluatedefects
Air-core coil PEC Metallic plates The effective signalfeature indicates that thefrequency and amplitudeat the LOI are decreasedwith sample thicknessincreasing In addition thefrequency LOI can beused to measure thesample thicknessfunctioning similarly totime domain LOI bymonitoring the frequencyand amplitude
Kral et al72 Linear transformermodel
Magnetoresistivesensor probe
Pulsed excitation No ferromagneticmetallic plates
The timederivative ofthe
magnetization curvesobtained for differentgaps between theexcitation coil and theplate was proposed
Yin et al114 Simplified modelrelated to thicknessconductivity and lift-offs
Air-core coil Sinusoidal signal Nonmagneticmetallic plate
Present the model withtwo independentparameters for a range ofthickness conductivityand lift-offs
Wei et al115 Design alternatingcurrent fieldmeasurement (ACFM)system
U-shapedprobe
Sinusoidal signal nonmagneticmetallic plate
Determine the optimum-induced frequency basedon the signal acquisitionand the measurementaccuracy of an ACFMsystem
Fan et al116 PEC spectral responseto serve as robustfeatures for thicknessevaluation
Hall sensor PEC Nonmagneticmetallic plate
Propose to apply thephase of PEC spectralresponse from a Hallsensor rather than pickupcoilndashbased probe tothickness measurementfor the elimination of lift-off effect
GMR giant magneto resistive ACFM alternating current filed measurement FEM finite element method PECT pulsed eddy current thermography
12 Measurement and Control
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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using rotating magnetic field eddy-current probe IEEE T
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tion of defects in aluminum plates using GMR probes
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field sensors based on giant magnetoresistance (GMR)
technology applications in electrical current sensing Sen-
sors 2009 9 7919ndash794243 Deng Y and Liu X Electromagnetic imaging methods for
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lingham WA International Society for Optics and
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NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
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2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
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and characterization of deep flaws in highly conductive
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application to the detection of deep cracks Mater Eval
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eddy current GMR data on aircraft structures NDTampE
Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
ductivity of metallic layers from pulsed eddy-current mea-
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rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
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1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
artificial neural networks Comp Stand Inter 2011 33
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tem for detection of subsurface defects at steel fastener
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sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
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for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
tions IEEE T Instrum Meas 2016 65 164ndash16961 Joubert PY Vourcrsquoh E and Thomas V Experimental
validation of an eddy current probe dedicated to the
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Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
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based probes In Proceedings of the metrology for aero-
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using a novel flexible eddy current sensor array Sensors
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magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
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type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
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idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
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p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
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Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
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ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 7: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/7.jpg)
current methods which rely on the sensor element thatutilities alternative current signal in ECT
Multi-frequency techniques
NDT widely uses multi-frequency techniques (MFTs)The MFT expanded the capabilities of using single-frequency testing which allows simultaneous tests
The multi-frequency process uses a composite signaland subtracts the undesirable signal12 The main unde-sirable signal caused by changes in the temperature var-iation material geometrical and probe lift-off69 MFTsare usually accomplished by combining the resultsobtained at different frequencies in the spatial domainLiu et al69 presented integrate two- (multi) frequencyinjection with dimensional spatial domain named as apyramid fusion method The SNR improved due toreduction in noise sources which demonstrated thepotential of signal enhancement via fusion method orraster scanning70 A two-dimensional (2D) surface pro-duced changes over of the impedance or impedance byraster scanning images12 Image processing techniquescan be applied to detect cracks using ECT Bartels andFisher71 proposed a multi-frequency eddy currentimage processing technique for the non destructivematerials evaluation SNR improvement up to 1100over traditional two-frequency techniques a sequenceof complex valued images generated from 2D ECT tomaximize the SNR The linear combination of theimages by Bartels and Fisher71
d x yeth THORN=X2Nf
i=1
cifi x yeth THORN
where Nf is the number of test frequencies and fi areextracted from the 2D images Results on experimentaldata demonstrate
Factors contributing to eddy currentsignals
The signal from an eddy current probe includes a col-lection of responses from defects sample geometry andprobe lift-off7273 Therefore it may be difficult to sepa-rate a single influence Adequate assessment of flaws orany other surface properties is likely when other factorsare understood7 The primary factors influencing theresponse of an eddy current probe are explained in thissection
Frequency
Eddy current response is strongly affected by the fre-quency chosen for the investigation This factor shouldbe appropriately selected by the operator based on thecrack detection sample such as lower frequencies forbulk characterization and higher frequencies for sur-face characterization
Many authors such as Ditchburn et al74 andThollon et al75 utilize this range and they suggestedthe range of 100Hzndash10MHz as standard inspection fre-quencies in ECT19 However a few authors such asOwston76 characterized high frequency at 25MHz forthin metallic coatings and detecting surface defects Inthe inspection of ferromagnetic materials low-frequency tests are applied to penetrate into the testspecimen and compensate for their high permeability
Table 2 (Continued)
Author Analysis toolsoftwaresimulation
Type of sample Excitation coil Sensing Finding
Lee et al66 FEM The steel (SS400)plate
The two probesmeasure thecurrent and thevoltage todetermine the coilimpedance
A coil winding anda ferromagneticcore are used as asensing element
A low frequency hasbeen applied for deepinternal inspection of aferromagnetic material
Rifai et al67 FEM Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
An array of GMRsensors
It has verycomplicated excitationand data acquisitionsystem
Xin et al21 3D FEM Steam generatortubes
Three identicalwindings locatedon the samephysical axes 1201apart
The responsesignal can be pickedup by bobbin coil inthe center
The probe is sensitiveto flaws of allorientations in thetube wall and the linescan data enable rapidinspection rates
Abdalla et al68 Fuzzyinterferencesystem
Carbon steel pipe Pair of orthogonal(axial andcircumferential)coil
Hybrid absoluteand differentialprobe
The Mamdani-typefuzzy use to integratedabsolute anddifferential probe
GMR giant magneto resistive EC eddy current ECP eddy current probe ECT eddy current testing ANN artificial neural network NCSF
normalized crack signal fitting SNR signal-to-noise ratio
AbdAlla et al 7
Ramos et al77 have studied the detection of subsurfaceflaws relating to the characterization of depth profilesof the subsurface defects in aluminum plates78
However the high frequency applied for the inspectionof small discontinuities occured in the near-surface7980
Table 3 summarizes the impact of different frequencyvalues on the depth of penetration of severalmaterials81
Conductivity of test material
Electrical conductivity and the magnetic permeabilityof the test objects of the material depend on the micro-structure for example grain structure the presence ofa second phase work hardening and heat treatmentGreater conductivity of a material such as copper andaluminum will lead to greater flow of the eddy currentsand hence the probe coil resistance
In great conductive materials defects or cracks pro-duce a high signal as an impedance plane as illustratedin Figure 8 Furthermore the phase lag between thelift-off line and the defect is f1 f282 which is signifi-cant as indicated in Figure 7
However the penetration depth of highly conductivematerials at a fixed frequency is lower than in lowerconductive materials such as stainless steel and steelThe conductivity of the different materials can be mea-sured using the International Annealed CopperStandard (IACS) Table 4 summarizes the conductivityof common elements83
Magnetic permeability
ECT signals are significantly affected by ferromagneticmaterials due to the increase in flux produced by thesignificant relative permeability of certain materialssuch as stainless steel or carbon steel84 The permeabil-ity of material changes the coupling of the coil with theconductive specimen and subsequently affects the reac-tance of the coil Permeability has a significant effecton the ECT compared to conductivity where the crackdetection has no potential when permeability changesrandomly8586
Lift-off
ECT is strongly affected by the amount of lift-offwhich can be defined as the separation distancebetween the excitation coil surface and the conductingmaterial surface This distance changes the mutualinductance of the circuits as the lift-off increases theamplitude of the eddy current induces emf as the sec-ondary coil decreases which can result in the misinter-pretation of the signals as flaws At a significant lift-off no detectable emf will be induced in the secondarycoil due to the sample chosen818788 This effect is par-ticularly prominent when using sinusoidal excitationswhich lose sensitivity beyond 5mm89 Although it isnot required to have a zero lift-off it is imperative totry and maintain a consistent lift-off since the variationin coupling between probe and test piece will
Table 3 Typical depths of penetration
Metals 368 d
1 kHz 4 kHz 16 kHz 64 kHz 256 kHz
Copper 0082 0041 0021 0010 0005Uranium 0334 0167 0084 0042 0021Zirconium 0516 0258 0129 0065 00327075 T-6 0144 0072 0036 0018 0009Steel 0019 0009 00048 00024 000126061 T-6 0126 0063 0032 0016 0008Magnesium 0134 0067 0034 0017 0008
Figure 7 Lift-off curves and crack displacement at impedanceplane82
Table 4 Conductivity and resistivity of conductive materials
Material Conductivity ( IACS)
Copper 10000Gold 7000Aluminum 6061 4200Brass 2800Copper-nickel 90ndash10 910Cast steel 1070Inconel 600 172Silver 10500Stainless steel 304 239Zircalloy-2 240
8 Measurement and Control
significantly affect the received signal Table 5 lists pre-vious studies that have considered the lift-off issue
Figure 8 illustrates the offset position of the tubeinside the bobbin coils Lift-off is explained using a coilwhose axis is normal to the test piece However lift-offalso occur when the test is conducted using encirclingor bobbin probes The vibration of the rod or the tubeinside the probe generates noise which presents difficul-ties when inspections are conducted117
There are methods for lift-off compensation whenthe eddy currents are used in order to detect cracks andlift-off becomes an undesired variable For instanceYin et al100 researched dual excitation frequencies andcoil design to minimize the lift-off effect Researchabout processing the data was also conducted to mini-mize the lift-off effect Lopez et al118 proposed the useof wavelets to remove the eddy current probe wobblenoise from the steam generatorrsquos tubes Reduction inthe lift-off effect was also attempted by optimizing thecoil design and sensor array119
Tian et al101 had researched the reduction of lift-offeffects via normalization techniques The technique canbe applied to the measurement of metal thicknessbeneath the non-conductive coatings and to the mea-surement of microstructure and strainstress where theoutput is highly sensitive to the lift-off effect Table 5illustrates previous studies that considered the lift-offissue
Optimization of ECT probes design
According to the state of the art the probability ofdetection techniques of eddy current techniques can beimproved by the optimizing the probe design In recentyears several studies have focused on optimization ofthe ECT probe design for defect detection Rochaet al120 proposed an ECT probe design based onvelocity-induced eddy currents to detect surface defectsCommercial simulation software was used for the opti-mization and design of the probe Their experimentalresults confirmed that the proposed probe design wasable to detect defects in the conductive materials where
motion is involved120 A biorthogonal rectangular probewas developed by Zhang et al52 Simulation resultsshowed the new biorthogonal rectangular probe has alesser effect on the lift-off with higher sensitivity detec-tion Meanwhile Cardoso et al121 optimized the sensorconfiguration in the eddy current probe design A finiteelement modeling simulation was used to measure theaccuracy detection of the probe design Comparison ofexperimental and simulation date proved the accuracyof the proposed probe Research by Rosado et al122
reported the influence of the geometrical parameters ofan eddy currents planar probe in ECT The findingsshowed that modifications of the studied parameterscould substantially improve the probe performance Ina different study Ghafari et al123 proposed a methodol-ogy for determining the optimal sensor parameters forECT probe design Simulation results showed the pro-posed sensor geometry improved the probe sensitivity todepth changes in a crack
Chen and Miya124 proposed ECT probes based onsimplified detectability analysis method and a ring cur-rent model The optimal probe designs are developed inview of the combinations of these excitation and pickupcoils by comparing their detectabilities evaluated withthe simplified analysis method Aldrin et al125 pre-sented a comprehensive approach to perform model-based inversion of crack characteristics using bolt holeeddy current techniques Signal processing algorithmswere developed for wide range of crack sizes andshapes including mid-bore corner and through thick-ness crack types Inversion results for select mid-borethrough and corner crack specimens are presentedwhere sizing performance was found to be satisfactoryin general but also depend on the size and location ofthe flaw Table 6 summarizes previous studies on theoptimization of the ECT probe design
Application of artificial intelligent in eddycurrent
GMR sensor is used in ECT to pick up the MF in thepresence of the defect As the mutual inductance
Figure 8 Wobble simulation a bobbin coil in an offset position to a tube87
AbdAlla et al 9
Table 5 Review of lift-off compensation techniques
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Fan et al90 Model-based inversionalgorithm
Air-core coil Sinusoidal signal Three plates ofcopper aluminumand stainless steel
Lift-off elimination formodel-based inversionmethod
Dziczkowskiet al91
Excrementalmathematical model
Coil Sine excitation atlow frequencies isapplied
Conductivematerial
To eliminate the lift-offbetween the coil and thespecimen under test
Lu et al92 Dodd and Deedsmethod
Coaxiallyarrangedcoils
Frequencysweeping
The metal plate Reducing the lift-off effecton permeabilitymeasurement formagnetic plates frommulti-frequency inductiondata
Ribeiroet al93
Lift-off correctionbased on the spatialspectral behavior ofeddy current
GMR The probeexcitation currentwas set to 100 mAat 5 kHz
A duralumin2024 T3 plate
Increase the signal-to-noise ratio ofmeasurements
Kral et al72 Linear transformermodel to investigatethe effect of the lift-off
GMR sensor Pulse signal Metallic plate Investigate the origin andthe characteristicsassociated with the lift-offpoint of intersection(LOI)
Wu et al94 Signal analysis base onmulti-frequency phasesignature
Coil Sinusoidal signalwith multi-frequency
Copper andaluminum plates
Presented a simple modelfor metal thicknessmeasurement that isunaffected by lift-off effectto obtain the thickness
Yin and Xu60 Using peak frequenciesof the sensor signal toestimate the thickness(h)
Bottom andtop coils
Swap frequency Aluminum plates Designed a triple-coilsensor operating as twocoil pairs and in a multi-frequency mode tomeasure plate thickness
Huang andWu95
Relative magnetic fluxchanging rate (s)
Coil Pulse signal and thesquare wave usedas excitationcurrent
Four 16Mn steelplates
Ferromagnetic objecttesting used to removethe lift-off effect withoutextra measurement ofreference signals
Yu et al96 Measure the defectdimension base onslope of the linearcurve of the peakvalue
Hall sensor Pulse signal 7075 and 2024aluminum alloyplates
Reduce the lift-off noisefor detection of defectdepth or width
Zhu et al97 Hough transform wasused
Coil Sinusoidal signal Annealing copperplate
Investigate the lift-offeffect in the normalizedimpedance plane
LopesRibeiroet al98
The theory of thelinear transformer
GMR Sinusoidalexcitation
Aluminum plates oftype AL3105-H12
Measurement of thethickness of a metallicnon-ferromagnetic plate
Tian andSophian99
Normalizationtechnique
Coil Pulse signal Two plates ofaluminum
Minimize lift-off impact Itcould be utilized formetal thicknessmeasurement and formicrostructure analysis
Yin et al100 Analytical model thatdescribes theinductance
Air-coredcoil
Multi-frequency Conducting plate The phase signature ofsuch a sensor is virtuallylift-off independent
Tian et al101 Analytical model basedon the extendedtruncated regioneigenfunctionexpansion
Hall sensor Pulse signal Plate conductorwith arbitrarynumber of layers
Analyze LOI with respectto different PECconfigurations and build
(Continued)
10 Measurement and Control
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wei et al102 U-shaped ACFMsystem
Coils The signalgenerator providesa 6 kHz sinevoltage waveformsignal
Mild steel sheetworkpiece with acrack Thelongitudinal
Determine an optimal lift-off value for a specific U-shaped ACFM system
Gotohet al103
The 3D edge-basedhexahedral nonlinearFEM
A transversetype Hallelement
The excitingfrequency is set to1 kHz
Nickel-coated steelplate
To inspect the thicknessof nickel-layer on steelplate without the impactof lift-off
LopesRibeiroet al98
A linear transformermodel
GMR sensor Sinusoidal signal Aluminum plates Measures the thickness ofmetallic
Gotohet al104
Electromagneticacoustic transducer
Transducercoil
A 250 kHzsinusoidal burstcurrent drives theEMAT coil
Steel plate Suitable lift-off value forthis specific EMAT systemshould be around 2 mm
Li et al105 The relative variationof magnetic flux (s)
Coil Pulse signal Metal plate Measurement of lift-off isextracted from themiddle part of the PECTsignal
Anganiet al17
Transient eddy currentoscillations
Hall sensor Pulses of the 50duty cycle with therepetition rate of2 s
Stainless steel plate Eliminate the falseindications due to the lift-off variations in thethickness measurement ofthe test material
Wanget al106
The slope of the lift-off curve (SLOC)feature of the eddycurrent sensor (ECS)
Sensor coil The workingfrequency (1 MHz)
Copper film Immunity to lift-offvariation
Wanget al107
Pulsed eddy current(PEC) responses
Hall sensor Pulse signal Nonmagnetic plate Study behaviors of lift-offpoint of intersectionpoints due to a plate withvarying conductivity andthickness
He et al108 Principal componentanalysis and supportvector machine
Coil The excitationpulse used 196 V100 Hz
Two 3003vAlndashMnalloy plate
Defect-automatedclassification
Aminehet al109
Blind deconvolutionalgorithm and awavelet networkinversion method
A tinyinductioncoil sensor
Alternating current Metal surface Lift-off evaluation andsurface crack signalrestoration
HoshikawaandKoyama110
Improvements inprobe design (h)
Tangentialcoil
Alternative current Brass plate To monitor the probe lift-off to avoid the probe notdetecting flaws in thematerial
Lu et al111 Multi-frequencyinductance spectraldata
Air-core coil Sinusoidal signal Metallic plates Proposed a new index tocompensate lift-offvariation linked to thethickness At different lift-offs the accuracy of thethickness measurementsproved to be more than98
Lu et al92112 Dodd and Deedsmethod
Air-core coil Sinusoidal signal Magnetic plates Proposed a new modifiedpermeabilitymeasurement techniquefor magnetic plates frommulti-frequency inductiondata The permeabilityerror caused by lift-offcan be reduced within75
(Continued)
AbdAlla et al 11
between the coil and the specimen is sensitive to thelift-off any changes in lift-off must be compensated forin order to achieve the accurate depth of defectmeasurements
The fuzzy logic is instrumental for enhancing lift-offcompensation Artificial intelligent used is in manytypes of research in ECT There are two common fuzzyinference methods Mamdanirsquos fuzzy inference methodand TakagindashSugenondashKang a method of fuzzy infer-ence The output from Mamdani fuzzy inference sys-tem (FIS) can be easily transformed into a linguisticform as the inference result before defuzzification135
The main difference between Mamdani-type FIS andSugeno-type FIS resides in the way the crisp output isgenerated from the fuzzy inputs136 While Mamdani-type FIS uses the technique of defuzzification of afuzzy output Sugeno-type FIS uses weighted averageto compute the crisp output137 so the Sugenorsquos output
membership functions are either linear or constant butMamdanirsquos inference expects the output membershipfunctions to be fuzzy sets which are appropriate forcomparing the peak of sensors Based on artificial intel-ligent technology a lot of research has been done bymany researchers about ECT as shown in Table 7
Conclusion
This paper introduces an overview of the eddy currentprobes structure and error compensation techniques toobtain an ideal measuring depth of defect for the mate-rial under test There are two techniques to sense thechange in MF air coil and magnetoresistance sensorAir coil is less sensitive at low frequency which requiredto inspect the surface of pipe and plate This particularpaper also reviews the manufacturer in the industry toproduce the commercial probes for practical tube
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wen et al113 Lift-off point ofintersection has beenapplied to determinethickness or evaluatedefects
Air-core coil PEC Metallic plates The effective signalfeature indicates that thefrequency and amplitudeat the LOI are decreasedwith sample thicknessincreasing In addition thefrequency LOI can beused to measure thesample thicknessfunctioning similarly totime domain LOI bymonitoring the frequencyand amplitude
Kral et al72 Linear transformermodel
Magnetoresistivesensor probe
Pulsed excitation No ferromagneticmetallic plates
The timederivative ofthe
magnetization curvesobtained for differentgaps between theexcitation coil and theplate was proposed
Yin et al114 Simplified modelrelated to thicknessconductivity and lift-offs
Air-core coil Sinusoidal signal Nonmagneticmetallic plate
Present the model withtwo independentparameters for a range ofthickness conductivityand lift-offs
Wei et al115 Design alternatingcurrent fieldmeasurement (ACFM)system
U-shapedprobe
Sinusoidal signal nonmagneticmetallic plate
Determine the optimum-induced frequency basedon the signal acquisitionand the measurementaccuracy of an ACFMsystem
Fan et al116 PEC spectral responseto serve as robustfeatures for thicknessevaluation
Hall sensor PEC Nonmagneticmetallic plate
Propose to apply thephase of PEC spectralresponse from a Hallsensor rather than pickupcoilndashbased probe tothickness measurementfor the elimination of lift-off effect
GMR giant magneto resistive ACFM alternating current filed measurement FEM finite element method PECT pulsed eddy current thermography
12 Measurement and Control
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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inspection of multilayer airframe structures IEEE T
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measurement of stainless steel plate Measurement 2016
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current probe based on permanent magnet and GMR
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of intersection feature in transient eddy-current
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19 Xu EX and Simkin J Total and reduced magnetic vector
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probe with bobbin pickup coil for steam generator tubes
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niques for processing remote field eddy current signals
from bend regions of steam generator tubes of prototype
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defects evaluation using eddy current testing Ind J Sci
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using rotating magnetic field eddy-current probe IEEE T
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probe for tube inspection East Lansing MI Michigan
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tion of defects in aluminum plates using GMR probes
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field sensors based on giant magnetoresistance (GMR)
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lingham WA International Society for Optics and
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NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
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application to the detection of deep cracks Mater Eval
1995 53 1296ndash130049 Kim J Yang G Udpa L et al Classification of pulsed
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Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
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rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
international conference on mechatronics and automation
(ICMA) Beijing China 2ndash5 August 2015 pp 1805ndash
1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
artificial neural networks Comp Stand Inter 2011 33
191ndash200
54 Yang G Zeng Z Deng Y et al 3D EC-GMR sensor sys-
tem for detection of subsurface defects at steel fastener
sites NDTampE Int 2012 50 20ndash2855 Yang G Dib G Udpa L et al Rotating field EC-GMR
sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
current testing J Fund Appl Sci 2018 10 949ndash96458 Shim H-S Choi MS Lee DH et al A prediction method
for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
tions IEEE T Instrum Meas 2016 65 164ndash16961 Joubert PY Vourcrsquoh E and Thomas V Experimental
validation of an eddy current probe dedicated to the
multi-frequency imaging of bore holes Sensor Actuat A-
Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
crack depth using eddy current techniques with GMR-
based probes In Proceedings of the metrology for aero-
space (Metroaerospace) Benevento 4ndash5 June 2015 pp
335ndash339 New York IEEE63 Xie R Chen D Pan M et al Fatigue crack length sizing
using a novel flexible eddy current sensor array Sensors
2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
Sensors 2017 17 E57968 Abdalla A Ali K Paw J et al A novel eddy current test-
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type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
16 Measurement and Control
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idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
image processing techniques for nondestructive evalua-
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image processing Washington DC 23ndash26 October 1995
p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
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and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
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conference on intelligent systems engineering (ICISE)
Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
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httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
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applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
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ference on fuzzy systems (FUZZ-IEEE) Vancouver
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York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
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evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 8: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/8.jpg)
Ramos et al77 have studied the detection of subsurfaceflaws relating to the characterization of depth profilesof the subsurface defects in aluminum plates78
However the high frequency applied for the inspectionof small discontinuities occured in the near-surface7980
Table 3 summarizes the impact of different frequencyvalues on the depth of penetration of severalmaterials81
Conductivity of test material
Electrical conductivity and the magnetic permeabilityof the test objects of the material depend on the micro-structure for example grain structure the presence ofa second phase work hardening and heat treatmentGreater conductivity of a material such as copper andaluminum will lead to greater flow of the eddy currentsand hence the probe coil resistance
In great conductive materials defects or cracks pro-duce a high signal as an impedance plane as illustratedin Figure 8 Furthermore the phase lag between thelift-off line and the defect is f1 f282 which is signifi-cant as indicated in Figure 7
However the penetration depth of highly conductivematerials at a fixed frequency is lower than in lowerconductive materials such as stainless steel and steelThe conductivity of the different materials can be mea-sured using the International Annealed CopperStandard (IACS) Table 4 summarizes the conductivityof common elements83
Magnetic permeability
ECT signals are significantly affected by ferromagneticmaterials due to the increase in flux produced by thesignificant relative permeability of certain materialssuch as stainless steel or carbon steel84 The permeabil-ity of material changes the coupling of the coil with theconductive specimen and subsequently affects the reac-tance of the coil Permeability has a significant effecton the ECT compared to conductivity where the crackdetection has no potential when permeability changesrandomly8586
Lift-off
ECT is strongly affected by the amount of lift-offwhich can be defined as the separation distancebetween the excitation coil surface and the conductingmaterial surface This distance changes the mutualinductance of the circuits as the lift-off increases theamplitude of the eddy current induces emf as the sec-ondary coil decreases which can result in the misinter-pretation of the signals as flaws At a significant lift-off no detectable emf will be induced in the secondarycoil due to the sample chosen818788 This effect is par-ticularly prominent when using sinusoidal excitationswhich lose sensitivity beyond 5mm89 Although it isnot required to have a zero lift-off it is imperative totry and maintain a consistent lift-off since the variationin coupling between probe and test piece will
Table 3 Typical depths of penetration
Metals 368 d
1 kHz 4 kHz 16 kHz 64 kHz 256 kHz
Copper 0082 0041 0021 0010 0005Uranium 0334 0167 0084 0042 0021Zirconium 0516 0258 0129 0065 00327075 T-6 0144 0072 0036 0018 0009Steel 0019 0009 00048 00024 000126061 T-6 0126 0063 0032 0016 0008Magnesium 0134 0067 0034 0017 0008
Figure 7 Lift-off curves and crack displacement at impedanceplane82
Table 4 Conductivity and resistivity of conductive materials
Material Conductivity ( IACS)
Copper 10000Gold 7000Aluminum 6061 4200Brass 2800Copper-nickel 90ndash10 910Cast steel 1070Inconel 600 172Silver 10500Stainless steel 304 239Zircalloy-2 240
8 Measurement and Control
significantly affect the received signal Table 5 lists pre-vious studies that have considered the lift-off issue
Figure 8 illustrates the offset position of the tubeinside the bobbin coils Lift-off is explained using a coilwhose axis is normal to the test piece However lift-offalso occur when the test is conducted using encirclingor bobbin probes The vibration of the rod or the tubeinside the probe generates noise which presents difficul-ties when inspections are conducted117
There are methods for lift-off compensation whenthe eddy currents are used in order to detect cracks andlift-off becomes an undesired variable For instanceYin et al100 researched dual excitation frequencies andcoil design to minimize the lift-off effect Researchabout processing the data was also conducted to mini-mize the lift-off effect Lopez et al118 proposed the useof wavelets to remove the eddy current probe wobblenoise from the steam generatorrsquos tubes Reduction inthe lift-off effect was also attempted by optimizing thecoil design and sensor array119
Tian et al101 had researched the reduction of lift-offeffects via normalization techniques The technique canbe applied to the measurement of metal thicknessbeneath the non-conductive coatings and to the mea-surement of microstructure and strainstress where theoutput is highly sensitive to the lift-off effect Table 5illustrates previous studies that considered the lift-offissue
Optimization of ECT probes design
According to the state of the art the probability ofdetection techniques of eddy current techniques can beimproved by the optimizing the probe design In recentyears several studies have focused on optimization ofthe ECT probe design for defect detection Rochaet al120 proposed an ECT probe design based onvelocity-induced eddy currents to detect surface defectsCommercial simulation software was used for the opti-mization and design of the probe Their experimentalresults confirmed that the proposed probe design wasable to detect defects in the conductive materials where
motion is involved120 A biorthogonal rectangular probewas developed by Zhang et al52 Simulation resultsshowed the new biorthogonal rectangular probe has alesser effect on the lift-off with higher sensitivity detec-tion Meanwhile Cardoso et al121 optimized the sensorconfiguration in the eddy current probe design A finiteelement modeling simulation was used to measure theaccuracy detection of the probe design Comparison ofexperimental and simulation date proved the accuracyof the proposed probe Research by Rosado et al122
reported the influence of the geometrical parameters ofan eddy currents planar probe in ECT The findingsshowed that modifications of the studied parameterscould substantially improve the probe performance Ina different study Ghafari et al123 proposed a methodol-ogy for determining the optimal sensor parameters forECT probe design Simulation results showed the pro-posed sensor geometry improved the probe sensitivity todepth changes in a crack
Chen and Miya124 proposed ECT probes based onsimplified detectability analysis method and a ring cur-rent model The optimal probe designs are developed inview of the combinations of these excitation and pickupcoils by comparing their detectabilities evaluated withthe simplified analysis method Aldrin et al125 pre-sented a comprehensive approach to perform model-based inversion of crack characteristics using bolt holeeddy current techniques Signal processing algorithmswere developed for wide range of crack sizes andshapes including mid-bore corner and through thick-ness crack types Inversion results for select mid-borethrough and corner crack specimens are presentedwhere sizing performance was found to be satisfactoryin general but also depend on the size and location ofthe flaw Table 6 summarizes previous studies on theoptimization of the ECT probe design
Application of artificial intelligent in eddycurrent
GMR sensor is used in ECT to pick up the MF in thepresence of the defect As the mutual inductance
Figure 8 Wobble simulation a bobbin coil in an offset position to a tube87
AbdAlla et al 9
Table 5 Review of lift-off compensation techniques
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Fan et al90 Model-based inversionalgorithm
Air-core coil Sinusoidal signal Three plates ofcopper aluminumand stainless steel
Lift-off elimination formodel-based inversionmethod
Dziczkowskiet al91
Excrementalmathematical model
Coil Sine excitation atlow frequencies isapplied
Conductivematerial
To eliminate the lift-offbetween the coil and thespecimen under test
Lu et al92 Dodd and Deedsmethod
Coaxiallyarrangedcoils
Frequencysweeping
The metal plate Reducing the lift-off effecton permeabilitymeasurement formagnetic plates frommulti-frequency inductiondata
Ribeiroet al93
Lift-off correctionbased on the spatialspectral behavior ofeddy current
GMR The probeexcitation currentwas set to 100 mAat 5 kHz
A duralumin2024 T3 plate
Increase the signal-to-noise ratio ofmeasurements
Kral et al72 Linear transformermodel to investigatethe effect of the lift-off
GMR sensor Pulse signal Metallic plate Investigate the origin andthe characteristicsassociated with the lift-offpoint of intersection(LOI)
Wu et al94 Signal analysis base onmulti-frequency phasesignature
Coil Sinusoidal signalwith multi-frequency
Copper andaluminum plates
Presented a simple modelfor metal thicknessmeasurement that isunaffected by lift-off effectto obtain the thickness
Yin and Xu60 Using peak frequenciesof the sensor signal toestimate the thickness(h)
Bottom andtop coils
Swap frequency Aluminum plates Designed a triple-coilsensor operating as twocoil pairs and in a multi-frequency mode tomeasure plate thickness
Huang andWu95
Relative magnetic fluxchanging rate (s)
Coil Pulse signal and thesquare wave usedas excitationcurrent
Four 16Mn steelplates
Ferromagnetic objecttesting used to removethe lift-off effect withoutextra measurement ofreference signals
Yu et al96 Measure the defectdimension base onslope of the linearcurve of the peakvalue
Hall sensor Pulse signal 7075 and 2024aluminum alloyplates
Reduce the lift-off noisefor detection of defectdepth or width
Zhu et al97 Hough transform wasused
Coil Sinusoidal signal Annealing copperplate
Investigate the lift-offeffect in the normalizedimpedance plane
LopesRibeiroet al98
The theory of thelinear transformer
GMR Sinusoidalexcitation
Aluminum plates oftype AL3105-H12
Measurement of thethickness of a metallicnon-ferromagnetic plate
Tian andSophian99
Normalizationtechnique
Coil Pulse signal Two plates ofaluminum
Minimize lift-off impact Itcould be utilized formetal thicknessmeasurement and formicrostructure analysis
Yin et al100 Analytical model thatdescribes theinductance
Air-coredcoil
Multi-frequency Conducting plate The phase signature ofsuch a sensor is virtuallylift-off independent
Tian et al101 Analytical model basedon the extendedtruncated regioneigenfunctionexpansion
Hall sensor Pulse signal Plate conductorwith arbitrarynumber of layers
Analyze LOI with respectto different PECconfigurations and build
(Continued)
10 Measurement and Control
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wei et al102 U-shaped ACFMsystem
Coils The signalgenerator providesa 6 kHz sinevoltage waveformsignal
Mild steel sheetworkpiece with acrack Thelongitudinal
Determine an optimal lift-off value for a specific U-shaped ACFM system
Gotohet al103
The 3D edge-basedhexahedral nonlinearFEM
A transversetype Hallelement
The excitingfrequency is set to1 kHz
Nickel-coated steelplate
To inspect the thicknessof nickel-layer on steelplate without the impactof lift-off
LopesRibeiroet al98
A linear transformermodel
GMR sensor Sinusoidal signal Aluminum plates Measures the thickness ofmetallic
Gotohet al104
Electromagneticacoustic transducer
Transducercoil
A 250 kHzsinusoidal burstcurrent drives theEMAT coil
Steel plate Suitable lift-off value forthis specific EMAT systemshould be around 2 mm
Li et al105 The relative variationof magnetic flux (s)
Coil Pulse signal Metal plate Measurement of lift-off isextracted from themiddle part of the PECTsignal
Anganiet al17
Transient eddy currentoscillations
Hall sensor Pulses of the 50duty cycle with therepetition rate of2 s
Stainless steel plate Eliminate the falseindications due to the lift-off variations in thethickness measurement ofthe test material
Wanget al106
The slope of the lift-off curve (SLOC)feature of the eddycurrent sensor (ECS)
Sensor coil The workingfrequency (1 MHz)
Copper film Immunity to lift-offvariation
Wanget al107
Pulsed eddy current(PEC) responses
Hall sensor Pulse signal Nonmagnetic plate Study behaviors of lift-offpoint of intersectionpoints due to a plate withvarying conductivity andthickness
He et al108 Principal componentanalysis and supportvector machine
Coil The excitationpulse used 196 V100 Hz
Two 3003vAlndashMnalloy plate
Defect-automatedclassification
Aminehet al109
Blind deconvolutionalgorithm and awavelet networkinversion method
A tinyinductioncoil sensor
Alternating current Metal surface Lift-off evaluation andsurface crack signalrestoration
HoshikawaandKoyama110
Improvements inprobe design (h)
Tangentialcoil
Alternative current Brass plate To monitor the probe lift-off to avoid the probe notdetecting flaws in thematerial
Lu et al111 Multi-frequencyinductance spectraldata
Air-core coil Sinusoidal signal Metallic plates Proposed a new index tocompensate lift-offvariation linked to thethickness At different lift-offs the accuracy of thethickness measurementsproved to be more than98
Lu et al92112 Dodd and Deedsmethod
Air-core coil Sinusoidal signal Magnetic plates Proposed a new modifiedpermeabilitymeasurement techniquefor magnetic plates frommulti-frequency inductiondata The permeabilityerror caused by lift-offcan be reduced within75
(Continued)
AbdAlla et al 11
between the coil and the specimen is sensitive to thelift-off any changes in lift-off must be compensated forin order to achieve the accurate depth of defectmeasurements
The fuzzy logic is instrumental for enhancing lift-offcompensation Artificial intelligent used is in manytypes of research in ECT There are two common fuzzyinference methods Mamdanirsquos fuzzy inference methodand TakagindashSugenondashKang a method of fuzzy infer-ence The output from Mamdani fuzzy inference sys-tem (FIS) can be easily transformed into a linguisticform as the inference result before defuzzification135
The main difference between Mamdani-type FIS andSugeno-type FIS resides in the way the crisp output isgenerated from the fuzzy inputs136 While Mamdani-type FIS uses the technique of defuzzification of afuzzy output Sugeno-type FIS uses weighted averageto compute the crisp output137 so the Sugenorsquos output
membership functions are either linear or constant butMamdanirsquos inference expects the output membershipfunctions to be fuzzy sets which are appropriate forcomparing the peak of sensors Based on artificial intel-ligent technology a lot of research has been done bymany researchers about ECT as shown in Table 7
Conclusion
This paper introduces an overview of the eddy currentprobes structure and error compensation techniques toobtain an ideal measuring depth of defect for the mate-rial under test There are two techniques to sense thechange in MF air coil and magnetoresistance sensorAir coil is less sensitive at low frequency which requiredto inspect the surface of pipe and plate This particularpaper also reviews the manufacturer in the industry toproduce the commercial probes for practical tube
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wen et al113 Lift-off point ofintersection has beenapplied to determinethickness or evaluatedefects
Air-core coil PEC Metallic plates The effective signalfeature indicates that thefrequency and amplitudeat the LOI are decreasedwith sample thicknessincreasing In addition thefrequency LOI can beused to measure thesample thicknessfunctioning similarly totime domain LOI bymonitoring the frequencyand amplitude
Kral et al72 Linear transformermodel
Magnetoresistivesensor probe
Pulsed excitation No ferromagneticmetallic plates
The timederivative ofthe
magnetization curvesobtained for differentgaps between theexcitation coil and theplate was proposed
Yin et al114 Simplified modelrelated to thicknessconductivity and lift-offs
Air-core coil Sinusoidal signal Nonmagneticmetallic plate
Present the model withtwo independentparameters for a range ofthickness conductivityand lift-offs
Wei et al115 Design alternatingcurrent fieldmeasurement (ACFM)system
U-shapedprobe
Sinusoidal signal nonmagneticmetallic plate
Determine the optimum-induced frequency basedon the signal acquisitionand the measurementaccuracy of an ACFMsystem
Fan et al116 PEC spectral responseto serve as robustfeatures for thicknessevaluation
Hall sensor PEC Nonmagneticmetallic plate
Propose to apply thephase of PEC spectralresponse from a Hallsensor rather than pickupcoilndashbased probe tothickness measurementfor the elimination of lift-off effect
GMR giant magneto resistive ACFM alternating current filed measurement FEM finite element method PECT pulsed eddy current thermography
12 Measurement and Control
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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19 Xu EX and Simkin J Total and reduced magnetic vector
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from bend regions of steam generator tubes of prototype
fast breeder reactor Ann Nucl Energy 2011 38 817ndash82423 Rifai D Abdalla AN Khamsah N et al Subsurface
defects evaluation using eddy current testing Ind J Sci
Technol 2016 9(9) 1ndash724 Lafontaine G Hardy F and Renaud J X-Probe ECT
array a high-speed replacement for rotating probes In
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Brussels European Commission25 Xiang P Ramakrishnan S Cai X et al Automated analy-
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from steam generator tubes Int J Appl Electrom 2000 12
151ndash16426 Xin J Lei N Udpa L et al Nondestructive inspection
using rotating magnetic field eddy-current probe IEEE T
Magn 2011 47 1070ndash107327 Huang H Sakurai N Takagi T et al Design of an eddy-
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evaluation based on eddy current pulsed thermography
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to a conducting half-space IEEE T Magn 1997 33
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36 Shokralla S Morelli JE and Krause TW Principal com-
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tion of defects in aluminum plates using GMR probes
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lingham WA International Society for Optics and
Photonics45 Li W Yuan Xa Chen G et al A feed-through ACFM
probe with sensor array for pipe string cracks inspection
NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
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2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
signal analysis application to the experimental detection
and characterization of deep flaws in highly conductive
materials NDTampE Int 1997 30 163ndash17048 Lebrun B Jayet Y and Baboux JC Pulsed eddy current
application to the detection of deep cracks Mater Eval
1995 53 1296ndash130049 Kim J Yang G Udpa L et al Classification of pulsed
eddy current GMR data on aircraft structures NDTampE
Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
ductivity of metallic layers from pulsed eddy-current mea-
surements Rev Sci Instrum 1996 67 3965ndash397251 DrsquoAngelo G Laracca M Rampone S et al Fast eddy cur-
rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
international conference on mechatronics and automation
(ICMA) Beijing China 2ndash5 August 2015 pp 1805ndash
1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
artificial neural networks Comp Stand Inter 2011 33
191ndash200
54 Yang G Zeng Z Deng Y et al 3D EC-GMR sensor sys-
tem for detection of subsurface defects at steel fastener
sites NDTampE Int 2012 50 20ndash2855 Yang G Dib G Udpa L et al Rotating field EC-GMR
sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
current testing J Fund Appl Sci 2018 10 949ndash96458 Shim H-S Choi MS Lee DH et al A prediction method
for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
tions IEEE T Instrum Meas 2016 65 164ndash16961 Joubert PY Vourcrsquoh E and Thomas V Experimental
validation of an eddy current probe dedicated to the
multi-frequency imaging of bore holes Sensor Actuat A-
Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
crack depth using eddy current techniques with GMR-
based probes In Proceedings of the metrology for aero-
space (Metroaerospace) Benevento 4ndash5 June 2015 pp
335ndash339 New York IEEE63 Xie R Chen D Pan M et al Fatigue crack length sizing
using a novel flexible eddy current sensor array Sensors
2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
Sensors 2017 17 E57968 Abdalla A Ali K Paw J et al A novel eddy current test-
ing error compensation technique based on Mamdani-
type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
16 Measurement and Control
evaluation of their performances In Proceedings of the
15th world conference on NDT (WCNDT 2000) 2000
httpswwwndtnetarticlewcndt00papersidn591
idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
image processing techniques for nondestructive evalua-
tion In Proceedings of the international conference on
image processing Washington DC 23ndash26 October 1995
p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
rent testing system In Proceedings of the international
conference on intelligent systems engineering (ICISE)
Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 9: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/9.jpg)
significantly affect the received signal Table 5 lists pre-vious studies that have considered the lift-off issue
Figure 8 illustrates the offset position of the tubeinside the bobbin coils Lift-off is explained using a coilwhose axis is normal to the test piece However lift-offalso occur when the test is conducted using encirclingor bobbin probes The vibration of the rod or the tubeinside the probe generates noise which presents difficul-ties when inspections are conducted117
There are methods for lift-off compensation whenthe eddy currents are used in order to detect cracks andlift-off becomes an undesired variable For instanceYin et al100 researched dual excitation frequencies andcoil design to minimize the lift-off effect Researchabout processing the data was also conducted to mini-mize the lift-off effect Lopez et al118 proposed the useof wavelets to remove the eddy current probe wobblenoise from the steam generatorrsquos tubes Reduction inthe lift-off effect was also attempted by optimizing thecoil design and sensor array119
Tian et al101 had researched the reduction of lift-offeffects via normalization techniques The technique canbe applied to the measurement of metal thicknessbeneath the non-conductive coatings and to the mea-surement of microstructure and strainstress where theoutput is highly sensitive to the lift-off effect Table 5illustrates previous studies that considered the lift-offissue
Optimization of ECT probes design
According to the state of the art the probability ofdetection techniques of eddy current techniques can beimproved by the optimizing the probe design In recentyears several studies have focused on optimization ofthe ECT probe design for defect detection Rochaet al120 proposed an ECT probe design based onvelocity-induced eddy currents to detect surface defectsCommercial simulation software was used for the opti-mization and design of the probe Their experimentalresults confirmed that the proposed probe design wasable to detect defects in the conductive materials where
motion is involved120 A biorthogonal rectangular probewas developed by Zhang et al52 Simulation resultsshowed the new biorthogonal rectangular probe has alesser effect on the lift-off with higher sensitivity detec-tion Meanwhile Cardoso et al121 optimized the sensorconfiguration in the eddy current probe design A finiteelement modeling simulation was used to measure theaccuracy detection of the probe design Comparison ofexperimental and simulation date proved the accuracyof the proposed probe Research by Rosado et al122
reported the influence of the geometrical parameters ofan eddy currents planar probe in ECT The findingsshowed that modifications of the studied parameterscould substantially improve the probe performance Ina different study Ghafari et al123 proposed a methodol-ogy for determining the optimal sensor parameters forECT probe design Simulation results showed the pro-posed sensor geometry improved the probe sensitivity todepth changes in a crack
Chen and Miya124 proposed ECT probes based onsimplified detectability analysis method and a ring cur-rent model The optimal probe designs are developed inview of the combinations of these excitation and pickupcoils by comparing their detectabilities evaluated withthe simplified analysis method Aldrin et al125 pre-sented a comprehensive approach to perform model-based inversion of crack characteristics using bolt holeeddy current techniques Signal processing algorithmswere developed for wide range of crack sizes andshapes including mid-bore corner and through thick-ness crack types Inversion results for select mid-borethrough and corner crack specimens are presentedwhere sizing performance was found to be satisfactoryin general but also depend on the size and location ofthe flaw Table 6 summarizes previous studies on theoptimization of the ECT probe design
Application of artificial intelligent in eddycurrent
GMR sensor is used in ECT to pick up the MF in thepresence of the defect As the mutual inductance
Figure 8 Wobble simulation a bobbin coil in an offset position to a tube87
AbdAlla et al 9
Table 5 Review of lift-off compensation techniques
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Fan et al90 Model-based inversionalgorithm
Air-core coil Sinusoidal signal Three plates ofcopper aluminumand stainless steel
Lift-off elimination formodel-based inversionmethod
Dziczkowskiet al91
Excrementalmathematical model
Coil Sine excitation atlow frequencies isapplied
Conductivematerial
To eliminate the lift-offbetween the coil and thespecimen under test
Lu et al92 Dodd and Deedsmethod
Coaxiallyarrangedcoils
Frequencysweeping
The metal plate Reducing the lift-off effecton permeabilitymeasurement formagnetic plates frommulti-frequency inductiondata
Ribeiroet al93
Lift-off correctionbased on the spatialspectral behavior ofeddy current
GMR The probeexcitation currentwas set to 100 mAat 5 kHz
A duralumin2024 T3 plate
Increase the signal-to-noise ratio ofmeasurements
Kral et al72 Linear transformermodel to investigatethe effect of the lift-off
GMR sensor Pulse signal Metallic plate Investigate the origin andthe characteristicsassociated with the lift-offpoint of intersection(LOI)
Wu et al94 Signal analysis base onmulti-frequency phasesignature
Coil Sinusoidal signalwith multi-frequency
Copper andaluminum plates
Presented a simple modelfor metal thicknessmeasurement that isunaffected by lift-off effectto obtain the thickness
Yin and Xu60 Using peak frequenciesof the sensor signal toestimate the thickness(h)
Bottom andtop coils
Swap frequency Aluminum plates Designed a triple-coilsensor operating as twocoil pairs and in a multi-frequency mode tomeasure plate thickness
Huang andWu95
Relative magnetic fluxchanging rate (s)
Coil Pulse signal and thesquare wave usedas excitationcurrent
Four 16Mn steelplates
Ferromagnetic objecttesting used to removethe lift-off effect withoutextra measurement ofreference signals
Yu et al96 Measure the defectdimension base onslope of the linearcurve of the peakvalue
Hall sensor Pulse signal 7075 and 2024aluminum alloyplates
Reduce the lift-off noisefor detection of defectdepth or width
Zhu et al97 Hough transform wasused
Coil Sinusoidal signal Annealing copperplate
Investigate the lift-offeffect in the normalizedimpedance plane
LopesRibeiroet al98
The theory of thelinear transformer
GMR Sinusoidalexcitation
Aluminum plates oftype AL3105-H12
Measurement of thethickness of a metallicnon-ferromagnetic plate
Tian andSophian99
Normalizationtechnique
Coil Pulse signal Two plates ofaluminum
Minimize lift-off impact Itcould be utilized formetal thicknessmeasurement and formicrostructure analysis
Yin et al100 Analytical model thatdescribes theinductance
Air-coredcoil
Multi-frequency Conducting plate The phase signature ofsuch a sensor is virtuallylift-off independent
Tian et al101 Analytical model basedon the extendedtruncated regioneigenfunctionexpansion
Hall sensor Pulse signal Plate conductorwith arbitrarynumber of layers
Analyze LOI with respectto different PECconfigurations and build
(Continued)
10 Measurement and Control
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wei et al102 U-shaped ACFMsystem
Coils The signalgenerator providesa 6 kHz sinevoltage waveformsignal
Mild steel sheetworkpiece with acrack Thelongitudinal
Determine an optimal lift-off value for a specific U-shaped ACFM system
Gotohet al103
The 3D edge-basedhexahedral nonlinearFEM
A transversetype Hallelement
The excitingfrequency is set to1 kHz
Nickel-coated steelplate
To inspect the thicknessof nickel-layer on steelplate without the impactof lift-off
LopesRibeiroet al98
A linear transformermodel
GMR sensor Sinusoidal signal Aluminum plates Measures the thickness ofmetallic
Gotohet al104
Electromagneticacoustic transducer
Transducercoil
A 250 kHzsinusoidal burstcurrent drives theEMAT coil
Steel plate Suitable lift-off value forthis specific EMAT systemshould be around 2 mm
Li et al105 The relative variationof magnetic flux (s)
Coil Pulse signal Metal plate Measurement of lift-off isextracted from themiddle part of the PECTsignal
Anganiet al17
Transient eddy currentoscillations
Hall sensor Pulses of the 50duty cycle with therepetition rate of2 s
Stainless steel plate Eliminate the falseindications due to the lift-off variations in thethickness measurement ofthe test material
Wanget al106
The slope of the lift-off curve (SLOC)feature of the eddycurrent sensor (ECS)
Sensor coil The workingfrequency (1 MHz)
Copper film Immunity to lift-offvariation
Wanget al107
Pulsed eddy current(PEC) responses
Hall sensor Pulse signal Nonmagnetic plate Study behaviors of lift-offpoint of intersectionpoints due to a plate withvarying conductivity andthickness
He et al108 Principal componentanalysis and supportvector machine
Coil The excitationpulse used 196 V100 Hz
Two 3003vAlndashMnalloy plate
Defect-automatedclassification
Aminehet al109
Blind deconvolutionalgorithm and awavelet networkinversion method
A tinyinductioncoil sensor
Alternating current Metal surface Lift-off evaluation andsurface crack signalrestoration
HoshikawaandKoyama110
Improvements inprobe design (h)
Tangentialcoil
Alternative current Brass plate To monitor the probe lift-off to avoid the probe notdetecting flaws in thematerial
Lu et al111 Multi-frequencyinductance spectraldata
Air-core coil Sinusoidal signal Metallic plates Proposed a new index tocompensate lift-offvariation linked to thethickness At different lift-offs the accuracy of thethickness measurementsproved to be more than98
Lu et al92112 Dodd and Deedsmethod
Air-core coil Sinusoidal signal Magnetic plates Proposed a new modifiedpermeabilitymeasurement techniquefor magnetic plates frommulti-frequency inductiondata The permeabilityerror caused by lift-offcan be reduced within75
(Continued)
AbdAlla et al 11
between the coil and the specimen is sensitive to thelift-off any changes in lift-off must be compensated forin order to achieve the accurate depth of defectmeasurements
The fuzzy logic is instrumental for enhancing lift-offcompensation Artificial intelligent used is in manytypes of research in ECT There are two common fuzzyinference methods Mamdanirsquos fuzzy inference methodand TakagindashSugenondashKang a method of fuzzy infer-ence The output from Mamdani fuzzy inference sys-tem (FIS) can be easily transformed into a linguisticform as the inference result before defuzzification135
The main difference between Mamdani-type FIS andSugeno-type FIS resides in the way the crisp output isgenerated from the fuzzy inputs136 While Mamdani-type FIS uses the technique of defuzzification of afuzzy output Sugeno-type FIS uses weighted averageto compute the crisp output137 so the Sugenorsquos output
membership functions are either linear or constant butMamdanirsquos inference expects the output membershipfunctions to be fuzzy sets which are appropriate forcomparing the peak of sensors Based on artificial intel-ligent technology a lot of research has been done bymany researchers about ECT as shown in Table 7
Conclusion
This paper introduces an overview of the eddy currentprobes structure and error compensation techniques toobtain an ideal measuring depth of defect for the mate-rial under test There are two techniques to sense thechange in MF air coil and magnetoresistance sensorAir coil is less sensitive at low frequency which requiredto inspect the surface of pipe and plate This particularpaper also reviews the manufacturer in the industry toproduce the commercial probes for practical tube
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wen et al113 Lift-off point ofintersection has beenapplied to determinethickness or evaluatedefects
Air-core coil PEC Metallic plates The effective signalfeature indicates that thefrequency and amplitudeat the LOI are decreasedwith sample thicknessincreasing In addition thefrequency LOI can beused to measure thesample thicknessfunctioning similarly totime domain LOI bymonitoring the frequencyand amplitude
Kral et al72 Linear transformermodel
Magnetoresistivesensor probe
Pulsed excitation No ferromagneticmetallic plates
The timederivative ofthe
magnetization curvesobtained for differentgaps between theexcitation coil and theplate was proposed
Yin et al114 Simplified modelrelated to thicknessconductivity and lift-offs
Air-core coil Sinusoidal signal Nonmagneticmetallic plate
Present the model withtwo independentparameters for a range ofthickness conductivityand lift-offs
Wei et al115 Design alternatingcurrent fieldmeasurement (ACFM)system
U-shapedprobe
Sinusoidal signal nonmagneticmetallic plate
Determine the optimum-induced frequency basedon the signal acquisitionand the measurementaccuracy of an ACFMsystem
Fan et al116 PEC spectral responseto serve as robustfeatures for thicknessevaluation
Hall sensor PEC Nonmagneticmetallic plate
Propose to apply thephase of PEC spectralresponse from a Hallsensor rather than pickupcoilndashbased probe tothickness measurementfor the elimination of lift-off effect
GMR giant magneto resistive ACFM alternating current filed measurement FEM finite element method PECT pulsed eddy current thermography
12 Measurement and Control
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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field sensors based on giant magnetoresistance (GMR)
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lingham WA International Society for Optics and
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rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
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(ICMA) Beijing China 2ndash5 August 2015 pp 1805ndash
1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
artificial neural networks Comp Stand Inter 2011 33
191ndash200
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tem for detection of subsurface defects at steel fastener
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sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
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for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
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validation of an eddy current probe dedicated to the
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Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
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defect in small diameter steam generator tube Measure-
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surement with rotating current excitation for evaluating
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idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
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IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
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2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
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steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
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eddy current sensing probe for weld zone testing In Pro-
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28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
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effect of width defect on eddy current testing signals
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eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
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and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
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New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
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ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
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ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
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rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 10: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/10.jpg)
Table 5 Review of lift-off compensation techniques
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Fan et al90 Model-based inversionalgorithm
Air-core coil Sinusoidal signal Three plates ofcopper aluminumand stainless steel
Lift-off elimination formodel-based inversionmethod
Dziczkowskiet al91
Excrementalmathematical model
Coil Sine excitation atlow frequencies isapplied
Conductivematerial
To eliminate the lift-offbetween the coil and thespecimen under test
Lu et al92 Dodd and Deedsmethod
Coaxiallyarrangedcoils
Frequencysweeping
The metal plate Reducing the lift-off effecton permeabilitymeasurement formagnetic plates frommulti-frequency inductiondata
Ribeiroet al93
Lift-off correctionbased on the spatialspectral behavior ofeddy current
GMR The probeexcitation currentwas set to 100 mAat 5 kHz
A duralumin2024 T3 plate
Increase the signal-to-noise ratio ofmeasurements
Kral et al72 Linear transformermodel to investigatethe effect of the lift-off
GMR sensor Pulse signal Metallic plate Investigate the origin andthe characteristicsassociated with the lift-offpoint of intersection(LOI)
Wu et al94 Signal analysis base onmulti-frequency phasesignature
Coil Sinusoidal signalwith multi-frequency
Copper andaluminum plates
Presented a simple modelfor metal thicknessmeasurement that isunaffected by lift-off effectto obtain the thickness
Yin and Xu60 Using peak frequenciesof the sensor signal toestimate the thickness(h)
Bottom andtop coils
Swap frequency Aluminum plates Designed a triple-coilsensor operating as twocoil pairs and in a multi-frequency mode tomeasure plate thickness
Huang andWu95
Relative magnetic fluxchanging rate (s)
Coil Pulse signal and thesquare wave usedas excitationcurrent
Four 16Mn steelplates
Ferromagnetic objecttesting used to removethe lift-off effect withoutextra measurement ofreference signals
Yu et al96 Measure the defectdimension base onslope of the linearcurve of the peakvalue
Hall sensor Pulse signal 7075 and 2024aluminum alloyplates
Reduce the lift-off noisefor detection of defectdepth or width
Zhu et al97 Hough transform wasused
Coil Sinusoidal signal Annealing copperplate
Investigate the lift-offeffect in the normalizedimpedance plane
LopesRibeiroet al98
The theory of thelinear transformer
GMR Sinusoidalexcitation
Aluminum plates oftype AL3105-H12
Measurement of thethickness of a metallicnon-ferromagnetic plate
Tian andSophian99
Normalizationtechnique
Coil Pulse signal Two plates ofaluminum
Minimize lift-off impact Itcould be utilized formetal thicknessmeasurement and formicrostructure analysis
Yin et al100 Analytical model thatdescribes theinductance
Air-coredcoil
Multi-frequency Conducting plate The phase signature ofsuch a sensor is virtuallylift-off independent
Tian et al101 Analytical model basedon the extendedtruncated regioneigenfunctionexpansion
Hall sensor Pulse signal Plate conductorwith arbitrarynumber of layers
Analyze LOI with respectto different PECconfigurations and build
(Continued)
10 Measurement and Control
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wei et al102 U-shaped ACFMsystem
Coils The signalgenerator providesa 6 kHz sinevoltage waveformsignal
Mild steel sheetworkpiece with acrack Thelongitudinal
Determine an optimal lift-off value for a specific U-shaped ACFM system
Gotohet al103
The 3D edge-basedhexahedral nonlinearFEM
A transversetype Hallelement
The excitingfrequency is set to1 kHz
Nickel-coated steelplate
To inspect the thicknessof nickel-layer on steelplate without the impactof lift-off
LopesRibeiroet al98
A linear transformermodel
GMR sensor Sinusoidal signal Aluminum plates Measures the thickness ofmetallic
Gotohet al104
Electromagneticacoustic transducer
Transducercoil
A 250 kHzsinusoidal burstcurrent drives theEMAT coil
Steel plate Suitable lift-off value forthis specific EMAT systemshould be around 2 mm
Li et al105 The relative variationof magnetic flux (s)
Coil Pulse signal Metal plate Measurement of lift-off isextracted from themiddle part of the PECTsignal
Anganiet al17
Transient eddy currentoscillations
Hall sensor Pulses of the 50duty cycle with therepetition rate of2 s
Stainless steel plate Eliminate the falseindications due to the lift-off variations in thethickness measurement ofthe test material
Wanget al106
The slope of the lift-off curve (SLOC)feature of the eddycurrent sensor (ECS)
Sensor coil The workingfrequency (1 MHz)
Copper film Immunity to lift-offvariation
Wanget al107
Pulsed eddy current(PEC) responses
Hall sensor Pulse signal Nonmagnetic plate Study behaviors of lift-offpoint of intersectionpoints due to a plate withvarying conductivity andthickness
He et al108 Principal componentanalysis and supportvector machine
Coil The excitationpulse used 196 V100 Hz
Two 3003vAlndashMnalloy plate
Defect-automatedclassification
Aminehet al109
Blind deconvolutionalgorithm and awavelet networkinversion method
A tinyinductioncoil sensor
Alternating current Metal surface Lift-off evaluation andsurface crack signalrestoration
HoshikawaandKoyama110
Improvements inprobe design (h)
Tangentialcoil
Alternative current Brass plate To monitor the probe lift-off to avoid the probe notdetecting flaws in thematerial
Lu et al111 Multi-frequencyinductance spectraldata
Air-core coil Sinusoidal signal Metallic plates Proposed a new index tocompensate lift-offvariation linked to thethickness At different lift-offs the accuracy of thethickness measurementsproved to be more than98
Lu et al92112 Dodd and Deedsmethod
Air-core coil Sinusoidal signal Magnetic plates Proposed a new modifiedpermeabilitymeasurement techniquefor magnetic plates frommulti-frequency inductiondata The permeabilityerror caused by lift-offcan be reduced within75
(Continued)
AbdAlla et al 11
between the coil and the specimen is sensitive to thelift-off any changes in lift-off must be compensated forin order to achieve the accurate depth of defectmeasurements
The fuzzy logic is instrumental for enhancing lift-offcompensation Artificial intelligent used is in manytypes of research in ECT There are two common fuzzyinference methods Mamdanirsquos fuzzy inference methodand TakagindashSugenondashKang a method of fuzzy infer-ence The output from Mamdani fuzzy inference sys-tem (FIS) can be easily transformed into a linguisticform as the inference result before defuzzification135
The main difference between Mamdani-type FIS andSugeno-type FIS resides in the way the crisp output isgenerated from the fuzzy inputs136 While Mamdani-type FIS uses the technique of defuzzification of afuzzy output Sugeno-type FIS uses weighted averageto compute the crisp output137 so the Sugenorsquos output
membership functions are either linear or constant butMamdanirsquos inference expects the output membershipfunctions to be fuzzy sets which are appropriate forcomparing the peak of sensors Based on artificial intel-ligent technology a lot of research has been done bymany researchers about ECT as shown in Table 7
Conclusion
This paper introduces an overview of the eddy currentprobes structure and error compensation techniques toobtain an ideal measuring depth of defect for the mate-rial under test There are two techniques to sense thechange in MF air coil and magnetoresistance sensorAir coil is less sensitive at low frequency which requiredto inspect the surface of pipe and plate This particularpaper also reviews the manufacturer in the industry toproduce the commercial probes for practical tube
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wen et al113 Lift-off point ofintersection has beenapplied to determinethickness or evaluatedefects
Air-core coil PEC Metallic plates The effective signalfeature indicates that thefrequency and amplitudeat the LOI are decreasedwith sample thicknessincreasing In addition thefrequency LOI can beused to measure thesample thicknessfunctioning similarly totime domain LOI bymonitoring the frequencyand amplitude
Kral et al72 Linear transformermodel
Magnetoresistivesensor probe
Pulsed excitation No ferromagneticmetallic plates
The timederivative ofthe
magnetization curvesobtained for differentgaps between theexcitation coil and theplate was proposed
Yin et al114 Simplified modelrelated to thicknessconductivity and lift-offs
Air-core coil Sinusoidal signal Nonmagneticmetallic plate
Present the model withtwo independentparameters for a range ofthickness conductivityand lift-offs
Wei et al115 Design alternatingcurrent fieldmeasurement (ACFM)system
U-shapedprobe
Sinusoidal signal nonmagneticmetallic plate
Determine the optimum-induced frequency basedon the signal acquisitionand the measurementaccuracy of an ACFMsystem
Fan et al116 PEC spectral responseto serve as robustfeatures for thicknessevaluation
Hall sensor PEC Nonmagneticmetallic plate
Propose to apply thephase of PEC spectralresponse from a Hallsensor rather than pickupcoilndashbased probe tothickness measurementfor the elimination of lift-off effect
GMR giant magneto resistive ACFM alternating current filed measurement FEM finite element method PECT pulsed eddy current thermography
12 Measurement and Control
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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19 Xu EX and Simkin J Total and reduced magnetic vector
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from bend regions of steam generator tubes of prototype
fast breeder reactor Ann Nucl Energy 2011 38 817ndash82423 Rifai D Abdalla AN Khamsah N et al Subsurface
defects evaluation using eddy current testing Ind J Sci
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Brussels European Commission25 Xiang P Ramakrishnan S Cai X et al Automated analy-
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151ndash16426 Xin J Lei N Udpa L et al Nondestructive inspection
using rotating magnetic field eddy-current probe IEEE T
Magn 2011 47 1070ndash107327 Huang H Sakurai N Takagi T et al Design of an eddy-
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910ndash91734 Li X Gao B Woo WL et al Quantitative surface crack
evaluation based on eddy current pulsed thermography
IEEE Sens J 2017 17 412ndash42135 Bowler J and Johnson M Pulsed eddy-current response
to a conducting half-space IEEE T Magn 1997 33
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36 Shokralla S Morelli JE and Krause TW Principal com-
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resistive sensors Naples Universita degli Studi di Napoli
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tion of defects in aluminum plates using GMR probes
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field sensors based on giant magnetoresistance (GMR)
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sensors for nondestructive evaluation In Proceedings
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lingham WA International Society for Optics and
Photonics45 Li W Yuan Xa Chen G et al A feed-through ACFM
probe with sensor array for pipe string cracks inspection
NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
of the sensors 2010 IEEE Kona HI 1ndash4 November
2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
signal analysis application to the experimental detection
and characterization of deep flaws in highly conductive
materials NDTampE Int 1997 30 163ndash17048 Lebrun B Jayet Y and Baboux JC Pulsed eddy current
application to the detection of deep cracks Mater Eval
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eddy current GMR data on aircraft structures NDTampE
Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
ductivity of metallic layers from pulsed eddy-current mea-
surements Rev Sci Instrum 1996 67 3965ndash397251 DrsquoAngelo G Laracca M Rampone S et al Fast eddy cur-
rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
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1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
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54 Yang G Zeng Z Deng Y et al 3D EC-GMR sensor sys-
tem for detection of subsurface defects at steel fastener
sites NDTampE Int 2012 50 20ndash2855 Yang G Dib G Udpa L et al Rotating field EC-GMR
sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
current testing J Fund Appl Sci 2018 10 949ndash96458 Shim H-S Choi MS Lee DH et al A prediction method
for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
tions IEEE T Instrum Meas 2016 65 164ndash16961 Joubert PY Vourcrsquoh E and Thomas V Experimental
validation of an eddy current probe dedicated to the
multi-frequency imaging of bore holes Sensor Actuat A-
Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
crack depth using eddy current techniques with GMR-
based probes In Proceedings of the metrology for aero-
space (Metroaerospace) Benevento 4ndash5 June 2015 pp
335ndash339 New York IEEE63 Xie R Chen D Pan M et al Fatigue crack length sizing
using a novel flexible eddy current sensor array Sensors
2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
Sensors 2017 17 E57968 Abdalla A Ali K Paw J et al A novel eddy current test-
ing error compensation technique based on Mamdani-
type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
16 Measurement and Control
evaluation of their performances In Proceedings of the
15th world conference on NDT (WCNDT 2000) 2000
httpswwwndtnetarticlewcndt00papersidn591
idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
image processing techniques for nondestructive evalua-
tion In Proceedings of the international conference on
image processing Washington DC 23ndash26 October 1995
p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
rent testing system In Proceedings of the international
conference on intelligent systems engineering (ICISE)
Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 11: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/11.jpg)
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wei et al102 U-shaped ACFMsystem
Coils The signalgenerator providesa 6 kHz sinevoltage waveformsignal
Mild steel sheetworkpiece with acrack Thelongitudinal
Determine an optimal lift-off value for a specific U-shaped ACFM system
Gotohet al103
The 3D edge-basedhexahedral nonlinearFEM
A transversetype Hallelement
The excitingfrequency is set to1 kHz
Nickel-coated steelplate
To inspect the thicknessof nickel-layer on steelplate without the impactof lift-off
LopesRibeiroet al98
A linear transformermodel
GMR sensor Sinusoidal signal Aluminum plates Measures the thickness ofmetallic
Gotohet al104
Electromagneticacoustic transducer
Transducercoil
A 250 kHzsinusoidal burstcurrent drives theEMAT coil
Steel plate Suitable lift-off value forthis specific EMAT systemshould be around 2 mm
Li et al105 The relative variationof magnetic flux (s)
Coil Pulse signal Metal plate Measurement of lift-off isextracted from themiddle part of the PECTsignal
Anganiet al17
Transient eddy currentoscillations
Hall sensor Pulses of the 50duty cycle with therepetition rate of2 s
Stainless steel plate Eliminate the falseindications due to the lift-off variations in thethickness measurement ofthe test material
Wanget al106
The slope of the lift-off curve (SLOC)feature of the eddycurrent sensor (ECS)
Sensor coil The workingfrequency (1 MHz)
Copper film Immunity to lift-offvariation
Wanget al107
Pulsed eddy current(PEC) responses
Hall sensor Pulse signal Nonmagnetic plate Study behaviors of lift-offpoint of intersectionpoints due to a plate withvarying conductivity andthickness
He et al108 Principal componentanalysis and supportvector machine
Coil The excitationpulse used 196 V100 Hz
Two 3003vAlndashMnalloy plate
Defect-automatedclassification
Aminehet al109
Blind deconvolutionalgorithm and awavelet networkinversion method
A tinyinductioncoil sensor
Alternating current Metal surface Lift-off evaluation andsurface crack signalrestoration
HoshikawaandKoyama110
Improvements inprobe design (h)
Tangentialcoil
Alternative current Brass plate To monitor the probe lift-off to avoid the probe notdetecting flaws in thematerial
Lu et al111 Multi-frequencyinductance spectraldata
Air-core coil Sinusoidal signal Metallic plates Proposed a new index tocompensate lift-offvariation linked to thethickness At different lift-offs the accuracy of thethickness measurementsproved to be more than98
Lu et al92112 Dodd and Deedsmethod
Air-core coil Sinusoidal signal Magnetic plates Proposed a new modifiedpermeabilitymeasurement techniquefor magnetic plates frommulti-frequency inductiondata The permeabilityerror caused by lift-offcan be reduced within75
(Continued)
AbdAlla et al 11
between the coil and the specimen is sensitive to thelift-off any changes in lift-off must be compensated forin order to achieve the accurate depth of defectmeasurements
The fuzzy logic is instrumental for enhancing lift-offcompensation Artificial intelligent used is in manytypes of research in ECT There are two common fuzzyinference methods Mamdanirsquos fuzzy inference methodand TakagindashSugenondashKang a method of fuzzy infer-ence The output from Mamdani fuzzy inference sys-tem (FIS) can be easily transformed into a linguisticform as the inference result before defuzzification135
The main difference between Mamdani-type FIS andSugeno-type FIS resides in the way the crisp output isgenerated from the fuzzy inputs136 While Mamdani-type FIS uses the technique of defuzzification of afuzzy output Sugeno-type FIS uses weighted averageto compute the crisp output137 so the Sugenorsquos output
membership functions are either linear or constant butMamdanirsquos inference expects the output membershipfunctions to be fuzzy sets which are appropriate forcomparing the peak of sensors Based on artificial intel-ligent technology a lot of research has been done bymany researchers about ECT as shown in Table 7
Conclusion
This paper introduces an overview of the eddy currentprobes structure and error compensation techniques toobtain an ideal measuring depth of defect for the mate-rial under test There are two techniques to sense thechange in MF air coil and magnetoresistance sensorAir coil is less sensitive at low frequency which requiredto inspect the surface of pipe and plate This particularpaper also reviews the manufacturer in the industry toproduce the commercial probes for practical tube
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wen et al113 Lift-off point ofintersection has beenapplied to determinethickness or evaluatedefects
Air-core coil PEC Metallic plates The effective signalfeature indicates that thefrequency and amplitudeat the LOI are decreasedwith sample thicknessincreasing In addition thefrequency LOI can beused to measure thesample thicknessfunctioning similarly totime domain LOI bymonitoring the frequencyand amplitude
Kral et al72 Linear transformermodel
Magnetoresistivesensor probe
Pulsed excitation No ferromagneticmetallic plates
The timederivative ofthe
magnetization curvesobtained for differentgaps between theexcitation coil and theplate was proposed
Yin et al114 Simplified modelrelated to thicknessconductivity and lift-offs
Air-core coil Sinusoidal signal Nonmagneticmetallic plate
Present the model withtwo independentparameters for a range ofthickness conductivityand lift-offs
Wei et al115 Design alternatingcurrent fieldmeasurement (ACFM)system
U-shapedprobe
Sinusoidal signal nonmagneticmetallic plate
Determine the optimum-induced frequency basedon the signal acquisitionand the measurementaccuracy of an ACFMsystem
Fan et al116 PEC spectral responseto serve as robustfeatures for thicknessevaluation
Hall sensor PEC Nonmagneticmetallic plate
Propose to apply thephase of PEC spectralresponse from a Hallsensor rather than pickupcoilndashbased probe tothickness measurementfor the elimination of lift-off effect
GMR giant magneto resistive ACFM alternating current filed measurement FEM finite element method PECT pulsed eddy current thermography
12 Measurement and Control
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
References
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TX PennWell Books 19932 Munoz-Cobo JL Chiva S Essa MAAEA et al Simula-
tion of bubbly flow in vertical pipes by coupling Lagran-
gian and Eulerian models with 3D random walks
models validation with experimental data using multi-
sensor conductivity probes and laser doppler anemome-
try Nucl Eng Des 2012 242 285ndash2993 Giguere S Pulsed eddy-currents for corrosion detection
Ottawa ON Canada National Library of Canada [Bib-
liotheque nationale du Canada] 20004 Betta G Ferrigno L and Laracca M GMR-based ECT
instrument for detection and characterization of crack on
a planar specimen a hand-held solution IEEE T Instrum
Meas 2012 61 505ndash5125 Aguila-Munoz J Espina-Hernandez J Perez-Benıtez J et
al A magnetic perturbation GMR-based probe for the
nondestructive evaluation of surface cracks in ferromag-
netic steels NDTampE Int 2016 79 132ndash1416 Lee J Jun J Kim J et al Bobbin-type solid-state hall
sensor array with high spatial resolution for cracks
inspection in small-bore piping systems IEEE T Magn
2012 48 3704ndash37077 Postolache O Ribeiro AL and Ramos HG GMR
array uniform eddy current probe for defect detection
in conductive specimens Measurement 2013 46
4369ndash43788 Ye C Huang Y Udpa L et al Novel rotating current
probe with GMR array sensors for steam generate tube
inspection IEEE Sens J 2016 16 4995ndash50029 Zeng Z Deng Y Liu X et al EC-GMR data analysis for
inspection of multilayer airframe structures IEEE T
Magn 2011 47 4745ndash475210 Rifai D Abdalla AN Ali K et al Giant magnetoresis-
tance sensors a review on structures and non-destructive
eddy current testing applications Sensors 2016 16 29811 Ali K Abdalla ANA Rifai D et al A review on system
development in eddy current testing and technique for
defect classification and characterization IET Circ Device
Syst 2017 11 338ndash35112 Garcıa-Martın J Gomez -Gil J and Vazquez-Sanchez E
Non-destructive techniques based on eddy current testing
Sensors 2011 11 2525ndash256513 Khan AA Liquid penetrant and magnetic particle testing
at level 2 (Series ITC) Vienna IAEA 200014 Angani CS Ramos HG Ribeiro AL et al Evaluation of
transient eddy current oscillations response for thickness
measurement of stainless steel plate Measurement 2016
90 59ndash6315 Vacher F Alves F and Gilles-Pascaud C Eddy current
nondestructive testing with giant magneto-impedance
sensor NDTampE Int 2007 40 439ndash44216 Faraj MA Samsuri F and AbdAlla AN Hybrid of eddy
current probe based on permanent magnet and GMR
sensor J Telecomm Electr Comp Eng 2018 10 7ndash1117 Angani CS Ramos HG Ribeiro AL et al Lift-off point
of intersection feature in transient eddy-current
oscillations method to detect thickness variation in stain-
less steel IEEE T Magn 2016 52 1ndash818 Sullivan S Smith S and Sharp F Simultaneous absolute
and differential operation of eddy current bobbin probes
for heat exchanger tube inspection Mater Eval 2000 58
634ndash638
19 Xu EX and Simkin J Total and reduced magnetic vector
potentials and electrical scalar potential for eddy current
calculation IEEE T Magn 2004 40 938ndash94020 Mao X and Lei Y Analytical solutions to eddy current
field excited by a probe coil near a conductive pipe
NDTampE Int 2013 54 69ndash7421 Xin J Lei N Udpa L et al Rotating field eddy current
probe with bobbin pickup coil for steam generator tubes
inspection NDTampE Int 2013 54 45ndash5522 Thirunavukkarasu S Rao B Jayakumar T et al Tech-
niques for processing remote field eddy current signals
from bend regions of steam generator tubes of prototype
fast breeder reactor Ann Nucl Energy 2011 38 817ndash82423 Rifai D Abdalla AN Khamsah N et al Subsurface
defects evaluation using eddy current testing Ind J Sci
Technol 2016 9(9) 1ndash724 Lafontaine G Hardy F and Renaud J X-Probe ECT
array a high-speed replacement for rotating probes In
Proceeding of the 3rd international conference on NDE in
relation to structural integrity for nuclear and pressurized
components Seville 14ndash16 November 2001 pp 14ndash16
Brussels European Commission25 Xiang P Ramakrishnan S Cai X et al Automated analy-
sis of rotating probe multi-frequency eddy current data
from steam generator tubes Int J Appl Electrom 2000 12
151ndash16426 Xin J Lei N Udpa L et al Nondestructive inspection
using rotating magnetic field eddy-current probe IEEE T
Magn 2011 47 1070ndash107327 Huang H Sakurai N Takagi T et al Design of an eddy-
current array probe for crack sizing in steam generator
tubes NDTampE Int 2003 36 515ndash52228 Jella PK Automated compensation and classification algo-
rithms for array probe eddy current nondestructive evalua-
tion East Lansing MI Michigan State University 200429 Xin J Design and analysis of rotating field eddy current
probe for tube inspection East Lansing MI Michigan
State University 201430 Uchanin V and Najda V The development of eddy current
technique for WWER steam generators inspection Lon-
don INTECH Open Access Publisher 201131 Udpa S and Moore P Nondestructive testing handbook
electromagnetic testing ASNT 2004 httpswwwasn-
torgMajorSiteSectionsPublications
NDT_Handbooksaspx32 Ludwig R and Dai X-W Numerical and analytical mod-
eling of pulsed eddy currents in a conducting half-space
IEEE T Magn 1990 26 299ndash30733 Yang G Tamburrino A Udpa L et al Pulsed eddy-
current based giant magnetoresistive system for the
inspection of aircraft structures IEEE T Magn 2010 46
910ndash91734 Li X Gao B Woo WL et al Quantitative surface crack
evaluation based on eddy current pulsed thermography
IEEE Sens J 2017 17 412ndash42135 Bowler J and Johnson M Pulsed eddy-current response
to a conducting half-space IEEE T Magn 1997 33
2258ndash2264
AbdAlla et al 15
36 Shokralla S Morelli JE and Krause TW Principal com-
ponents analysis of multifrequency eddy current data
used to measure pressure tube to calandria tube gap
IEEE Sens J 2016 16 3147ndash315437 Harrison D Eddy-current inspection using hall sensors and
transient excitation Defence Research Agency Technical
Report no DRASMCTR941008 1994 Farnborough
DRA38 Harrison D Progress in the detection of cracks under
installed fasteners using eddy currents In AGARD Con-
ference Proceedings on Impact of Emerging NDE-NDI
Methods on Aircraft Design Manufacture and Mainte-
nance (No462) 1990 15 1ndash839 Giguere J Lepine B Dubois J et al Detection of cracks
beneath rivet heads via pulsed eddy current technique In
Proceedings of the AIP conference Albuquerque NM 3ndash
6 February 2002 pp 1968ndash1975 Melville NY AIP40 Di Iorio F Low field magnetic sensing with giant magneto
resistive sensors Naples Universita degli Studi di Napoli
Federico II 200841 Postolache O Ramos HG and Ribeiro AL Characteriza-
tion of defects in aluminum plates using GMR probes
and neural network signal processing In Proceedings of
the XVI-IMEKO TC4 symposium Florence 200842 Reig C Cubells-Beltran MD and Munoz DR Magnetic
field sensors based on giant magnetoresistance (GMR)
technology applications in electrical current sensing Sen-
sors 2009 9 7919ndash794243 Deng Y and Liu X Electromagnetic imaging methods for
nondestructive evaluation applications Sensors 2011 11
11774ndash1180844 Jander A Smith C and Schneider R Magnetoresistive
sensors for nondestructive evaluation In Proceedings
of the nondestructive evaluation for health monitoring
and diagnostics San Diego CA 2005 pp 1ndash13 Bel-
lingham WA International Society for Optics and
Photonics45 Li W Yuan Xa Chen G et al A feed-through ACFM
probe with sensor array for pipe string cracks inspection
NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
of the sensors 2010 IEEE Kona HI 1ndash4 November
2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
signal analysis application to the experimental detection
and characterization of deep flaws in highly conductive
materials NDTampE Int 1997 30 163ndash17048 Lebrun B Jayet Y and Baboux JC Pulsed eddy current
application to the detection of deep cracks Mater Eval
1995 53 1296ndash130049 Kim J Yang G Udpa L et al Classification of pulsed
eddy current GMR data on aircraft structures NDTampE
Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
ductivity of metallic layers from pulsed eddy-current mea-
surements Rev Sci Instrum 1996 67 3965ndash397251 DrsquoAngelo G Laracca M Rampone S et al Fast eddy cur-
rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
international conference on mechatronics and automation
(ICMA) Beijing China 2ndash5 August 2015 pp 1805ndash
1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
artificial neural networks Comp Stand Inter 2011 33
191ndash200
54 Yang G Zeng Z Deng Y et al 3D EC-GMR sensor sys-
tem for detection of subsurface defects at steel fastener
sites NDTampE Int 2012 50 20ndash2855 Yang G Dib G Udpa L et al Rotating field EC-GMR
sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
current testing J Fund Appl Sci 2018 10 949ndash96458 Shim H-S Choi MS Lee DH et al A prediction method
for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
tions IEEE T Instrum Meas 2016 65 164ndash16961 Joubert PY Vourcrsquoh E and Thomas V Experimental
validation of an eddy current probe dedicated to the
multi-frequency imaging of bore holes Sensor Actuat A-
Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
crack depth using eddy current techniques with GMR-
based probes In Proceedings of the metrology for aero-
space (Metroaerospace) Benevento 4ndash5 June 2015 pp
335ndash339 New York IEEE63 Xie R Chen D Pan M et al Fatigue crack length sizing
using a novel flexible eddy current sensor array Sensors
2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
Sensors 2017 17 E57968 Abdalla A Ali K Paw J et al A novel eddy current test-
ing error compensation technique based on Mamdani-
type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
16 Measurement and Control
evaluation of their performances In Proceedings of the
15th world conference on NDT (WCNDT 2000) 2000
httpswwwndtnetarticlewcndt00papersidn591
idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
image processing techniques for nondestructive evalua-
tion In Proceedings of the international conference on
image processing Washington DC 23ndash26 October 1995
p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
rent testing system In Proceedings of the international
conference on intelligent systems engineering (ICISE)
Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 12: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/12.jpg)
between the coil and the specimen is sensitive to thelift-off any changes in lift-off must be compensated forin order to achieve the accurate depth of defectmeasurements
The fuzzy logic is instrumental for enhancing lift-offcompensation Artificial intelligent used is in manytypes of research in ECT There are two common fuzzyinference methods Mamdanirsquos fuzzy inference methodand TakagindashSugenondashKang a method of fuzzy infer-ence The output from Mamdani fuzzy inference sys-tem (FIS) can be easily transformed into a linguisticform as the inference result before defuzzification135
The main difference between Mamdani-type FIS andSugeno-type FIS resides in the way the crisp output isgenerated from the fuzzy inputs136 While Mamdani-type FIS uses the technique of defuzzification of afuzzy output Sugeno-type FIS uses weighted averageto compute the crisp output137 so the Sugenorsquos output
membership functions are either linear or constant butMamdanirsquos inference expects the output membershipfunctions to be fuzzy sets which are appropriate forcomparing the peak of sensors Based on artificial intel-ligent technology a lot of research has been done bymany researchers about ECT as shown in Table 7
Conclusion
This paper introduces an overview of the eddy currentprobes structure and error compensation techniques toobtain an ideal measuring depth of defect for the mate-rial under test There are two techniques to sense thechange in MF air coil and magnetoresistance sensorAir coil is less sensitive at low frequency which requiredto inspect the surface of pipe and plate This particularpaper also reviews the manufacturer in the industry toproduce the commercial probes for practical tube
Table 5 (Continued)
Author Technique software orhardware
Sensor type Signal excitation Sample type Research Area
Wen et al113 Lift-off point ofintersection has beenapplied to determinethickness or evaluatedefects
Air-core coil PEC Metallic plates The effective signalfeature indicates that thefrequency and amplitudeat the LOI are decreasedwith sample thicknessincreasing In addition thefrequency LOI can beused to measure thesample thicknessfunctioning similarly totime domain LOI bymonitoring the frequencyand amplitude
Kral et al72 Linear transformermodel
Magnetoresistivesensor probe
Pulsed excitation No ferromagneticmetallic plates
The timederivative ofthe
magnetization curvesobtained for differentgaps between theexcitation coil and theplate was proposed
Yin et al114 Simplified modelrelated to thicknessconductivity and lift-offs
Air-core coil Sinusoidal signal Nonmagneticmetallic plate
Present the model withtwo independentparameters for a range ofthickness conductivityand lift-offs
Wei et al115 Design alternatingcurrent fieldmeasurement (ACFM)system
U-shapedprobe
Sinusoidal signal nonmagneticmetallic plate
Determine the optimum-induced frequency basedon the signal acquisitionand the measurementaccuracy of an ACFMsystem
Fan et al116 PEC spectral responseto serve as robustfeatures for thicknessevaluation
Hall sensor PEC Nonmagneticmetallic plate
Propose to apply thephase of PEC spectralresponse from a Hallsensor rather than pickupcoilndashbased probe tothickness measurementfor the elimination of lift-off effect
GMR giant magneto resistive ACFM alternating current filed measurement FEM finite element method PECT pulsed eddy current thermography
12 Measurement and Control
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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field sensors based on giant magnetoresistance (GMR)
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lingham WA International Society for Optics and
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2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
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application to the detection of deep cracks Mater Eval
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eddy current GMR data on aircraft structures NDTampE
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rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
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(ICMA) Beijing China 2ndash5 August 2015 pp 1805ndash
1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
artificial neural networks Comp Stand Inter 2011 33
191ndash200
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tem for detection of subsurface defects at steel fastener
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sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
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for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
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validation of an eddy current probe dedicated to the
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magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
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surement with rotating current excitation for evaluating
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idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
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IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
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2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
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eddy current sensing probe for weld zone testing In Pro-
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28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
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and depth of the defect in an eddy current signal Appl
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effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
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and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
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New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
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ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
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ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 13: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/13.jpg)
Table 6 Summary previous studies on optimization of ECT probe design
Authors Research area Optimization techniquesoftware tool
Observations
Betta et al126 Optimized complex signals forECT
Signals analyzed intransformed domains
The effect of suitable signaloptimizations carried out to retrieveexcitation frequencies linearly spacedin the skin depth domain instead ofusual signals with a harmonic contentlinearly spaced in the frequencydomain
Xiangchao and Feilu127 Optimization of PECT systemfor defect detection on aircraft-riveted structures
Phase-shift and logic-operation
The experimental results testify theavailability of the optimized system andthe necessity to optimize the PECTprobe design parameters
Pereira and Clarke128 Modeling and designoptimization of an eddy currentsensor for superficial and sub-superficial crack detection ininconel claddings
Finite-element modelswere used as a tool foreddy current sensordesign to optimize theirgeometry and operatingfrequency for detectionof the defect
A good agreement was found betweensimulated and experimental resultsshowing that this is a robust strategyfor special sensor design
Cardoso et al121 Improved magnetic tunneljunctions design for thedetection of superficial defectsby eddy currents testing
Optimize the sensorconfiguration
The experimental results obtainedshowed very good agreement with thesimulations for micron size defectdetection
Karthik et al129 Coil positioning for defectreconstruction in a steel plate
Genetic algorithmoptimization method
The pancake exciting coil can readmaximum voltage generated by thedefect
Deabes et al130 Optimized fuzzy imagereconstruction algorithm forECT systems
Fuzzy inference system(FIS)
The results show that the proposedoptimized algorithm has high accuracyand promising features
Li et al131 Multi-parametric indicatordesign for ECT sensoroptimization used in oiltransmission
A L9(34) orthogonal
designThe experimental results indicated thatthe sensor structure optimized withthe CFIECT could derive a greatersensitivity distribution and a betterimaging reconstruction results
Vacher et al15 Eddy current nondestructivetesting with the giant magneto-impedance sensor
Fast semi-analyticalmodels
Improved the probe sensitivityperformances at low frequencies andsmall size of defect detection
Chen and Miya124 A new approach for optimaldesign of ECT probes
Simplified detectabilityanalysis method and aring current model
The high performance of the newprobe designs is assured
Thollon and Burais132 Geometrical optimization ofsensors for eddy currentsNondestructive testing andevaluation
Genetic algorithm The optimized probe design showedhigh performance for claddingthickness measurement
Qi et al133 Parameters optimization andnonlinearity analysis of gratingeddy current displacementsensor using the neural networkand genetic algorithm
Combined an artificialneural network (ANN)and a genetic algorithm(GA) for the sensorparameters optimization
The calculated nonlinearity error is025 These results show that theproposed method performs well forthe parameters optimization of theGECDS
Huang et al27 Design of an eddy current arrayprobe for crack sizing in steamgenerator tubes
Numerical simulations Experiments show that the proposedprobe provides both a highdetectability and a remarkablecapability of reconstructing the shallowcracks of a tube
Rao et al134 Optimization of eddy currentprobes for detection of gartersprings in pressurized heavywater reactors
Two-dimensional finiteelement method is usedto optimize eddy currentprobe design parameters
The eddy current probe can detect thedisplacement of garter springs
CFIECT combination fuzzy index of the eddy current testing GECDS grating eddy current displacement sensor ECT eddy current testing
AbdAlla et al 13
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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current probe based on permanent magnet and GMR
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of intersection feature in transient eddy-current
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19 Xu EX and Simkin J Total and reduced magnetic vector
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probe with bobbin pickup coil for steam generator tubes
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from bend regions of steam generator tubes of prototype
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defects evaluation using eddy current testing Ind J Sci
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using rotating magnetic field eddy-current probe IEEE T
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tion of defects in aluminum plates using GMR probes
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field sensors based on giant magnetoresistance (GMR)
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lingham WA International Society for Optics and
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NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
of the sensors 2010 IEEE Kona HI 1ndash4 November
2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
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and characterization of deep flaws in highly conductive
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application to the detection of deep cracks Mater Eval
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eddy current GMR data on aircraft structures NDTampE
Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
ductivity of metallic layers from pulsed eddy-current mea-
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rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
international conference on mechatronics and automation
(ICMA) Beijing China 2ndash5 August 2015 pp 1805ndash
1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
artificial neural networks Comp Stand Inter 2011 33
191ndash200
54 Yang G Zeng Z Deng Y et al 3D EC-GMR sensor sys-
tem for detection of subsurface defects at steel fastener
sites NDTampE Int 2012 50 20ndash2855 Yang G Dib G Udpa L et al Rotating field EC-GMR
sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
current testing J Fund Appl Sci 2018 10 949ndash96458 Shim H-S Choi MS Lee DH et al A prediction method
for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
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validation of an eddy current probe dedicated to the
multi-frequency imaging of bore holes Sensor Actuat A-
Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
crack depth using eddy current techniques with GMR-
based probes In Proceedings of the metrology for aero-
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using a novel flexible eddy current sensor array Sensors
2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
Sensors 2017 17 E57968 Abdalla A Ali K Paw J et al A novel eddy current test-
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type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
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idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
image processing techniques for nondestructive evalua-
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p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
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conference on intelligent systems engineering (ICISE)
Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 14: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/14.jpg)
inspection In addition compare the performancedetectability and the working principle of the bobbinprobe rotating probe and array probe for the pipeinspection was presented The lift-off effects are themain factors affecting the ECT signal causing erro-neous data interpretation The lift-off effect is discussedin detail ensuring that the measuring defect is rightFinally briefly review different conventional and intel-ligent lift-off compensation
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest withrespect to the research authorship andor publication of thisarticle
Funding
This work was supported by Huaiyin institute of Technologyand University Malaysia Pahang under grant numberRDU170379
Table 7 Intelligent technique in defect measuring
Author Proposed technique Application Remarks
Buck et al138 ANN with statistical techniqueof PCA
Steam generator data insimultaneous measurement
High sensitivity
DrsquoAngelo and Rampone139 Neural network To classify the aerospacestructure defects
The efficiency parameters werevery high near to one
Preda and Hantila140 FEMpolarization methodNNmethod
Reconstruction of defectshapes with PEC
NN-based inversion approachproduces an accurate and quickrebuilding of defect shape
Rosado et al141 Digital signal processing (DSP)suggested in FPGA
Multi-frequency for ECT inreal-time processing
Utilizing DSP to generate multi-frequency stimulus
Habibalahi et al142 Neural network data fusion Improving pulsed eddycurrent stress measurement
The ability of NN data fusion toenhance stress measurementreliability
He et al108 PCA-based feature extractionmethods (ANN)
Defect-automatedclassification
Defect can be classifiedsatisfactorily when lift-off rangedfrom 0 to 14 mm
Rosado et al143 An ANN using data obtainedwith FEM
To estimate the defectproperties
The ANN has poorgeneralization ability outside therange
Babaei et al144 FEMANN Calculating the dimension ofrectangular cracks
The results of NN are veryguaranteeing to compare withtargets
Peng145 Multilayer feed-forward error-back propagation neuralnetwork
Assessment of crackexpansion direction
The estimation error by usingthe training BPNN presents tobe less than 2 which meets therequirement
Rosado146 Artificial neural network andnonlinear regressions
Profile reconstruction andestimate depth and width ofdefect
Finite element model wasapplied to produce syntheticECT data for some faultyscenarios
Postolache et al53 ANN including competitiveneural network and multilayerperceptronFEM
Estimation and classificationthe geometricalcharacteristic
The accuracy of defectclassification was increased byusing ANN
Zhang and Yang147 PSO algorithmANN-basedforward model
Rebuilding of crack geometryfrom ECT signal
Reconstruct crack profile rapidlyand accurately from ECT signals
Morabito and Versaci148 Fuzzy neural approach To localizing hole inconducting plates
The fuzzy system is effectivewith a limited number of inputs
Guohou et al149 DempsterndashShafer evidencetheorythe fuzzy inference
Evaluate the defect inconductive structure
Using the D-S approach todetermine the defect parameter
Upadhyaya et al150 ANN and fuzzy logic technique Flaw detection and tubedefect parameter estimation
The estimation of tube defectparameters performed with ahigh accuracy
Fan et al151 Both kernel principalcomponent analysis (KPCA) anda support vector machine (SVM)
Study the influences ofexcitation frequency for agroup of defects wererevealed in terms ofdetection sensitivity contrastbetween defect features andclassification accuracy
Determine the optimalexcitation frequency for a groupof defects
ANN artificial neural network PCA principal component analysis FEM finite element method PEC pulsed eddy current FPGA field-
programmable gate array ECT eddy current testing BPNN back propagation neural network PSO particle swarm optimization
14 Measurement and Control
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
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induced voltage of pick-up coil excited by rectangular
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artificial neural networks Comp Stand Inter 2011 33
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tem for detection of subsurface defects at steel fastener
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in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
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for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
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ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
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validation of an eddy current probe dedicated to the
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Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
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2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
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defect in ferromagnetic material by low frequency eddy
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testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
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type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
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idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
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eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
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2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
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experimental study of eddy current probes in NDT of
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cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
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pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
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and depth of the defect in an eddy current signal Appl
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effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
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and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
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New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
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ing manual on eddy current method Atomic Energy of
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88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
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ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 15: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/15.jpg)
ORCID iD
Ahmed N AbdAlla httpsorcidorg0000-0002-8633-1833Moneer A Faraj httpsorcidorg0000-0002-1945-9634
References
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models validation with experimental data using multi-
sensor conductivity probes and laser doppler anemome-
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Ottawa ON Canada National Library of Canada [Bib-
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instrument for detection and characterization of crack on
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nondestructive evaluation of surface cracks in ferromag-
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sensor array with high spatial resolution for cracks
inspection in small-bore piping systems IEEE T Magn
2012 48 3704ndash37077 Postolache O Ribeiro AL and Ramos HG GMR
array uniform eddy current probe for defect detection
in conductive specimens Measurement 2013 46
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probe with GMR array sensors for steam generate tube
inspection IEEE Sens J 2016 16 4995ndash50029 Zeng Z Deng Y Liu X et al EC-GMR data analysis for
inspection of multilayer airframe structures IEEE T
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tance sensors a review on structures and non-destructive
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development in eddy current testing and technique for
defect classification and characterization IET Circ Device
Syst 2017 11 338ndash35112 Garcıa-Martın J Gomez -Gil J and Vazquez-Sanchez E
Non-destructive techniques based on eddy current testing
Sensors 2011 11 2525ndash256513 Khan AA Liquid penetrant and magnetic particle testing
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transient eddy current oscillations response for thickness
measurement of stainless steel plate Measurement 2016
90 59ndash6315 Vacher F Alves F and Gilles-Pascaud C Eddy current
nondestructive testing with giant magneto-impedance
sensor NDTampE Int 2007 40 439ndash44216 Faraj MA Samsuri F and AbdAlla AN Hybrid of eddy
current probe based on permanent magnet and GMR
sensor J Telecomm Electr Comp Eng 2018 10 7ndash1117 Angani CS Ramos HG Ribeiro AL et al Lift-off point
of intersection feature in transient eddy-current
oscillations method to detect thickness variation in stain-
less steel IEEE T Magn 2016 52 1ndash818 Sullivan S Smith S and Sharp F Simultaneous absolute
and differential operation of eddy current bobbin probes
for heat exchanger tube inspection Mater Eval 2000 58
634ndash638
19 Xu EX and Simkin J Total and reduced magnetic vector
potentials and electrical scalar potential for eddy current
calculation IEEE T Magn 2004 40 938ndash94020 Mao X and Lei Y Analytical solutions to eddy current
field excited by a probe coil near a conductive pipe
NDTampE Int 2013 54 69ndash7421 Xin J Lei N Udpa L et al Rotating field eddy current
probe with bobbin pickup coil for steam generator tubes
inspection NDTampE Int 2013 54 45ndash5522 Thirunavukkarasu S Rao B Jayakumar T et al Tech-
niques for processing remote field eddy current signals
from bend regions of steam generator tubes of prototype
fast breeder reactor Ann Nucl Energy 2011 38 817ndash82423 Rifai D Abdalla AN Khamsah N et al Subsurface
defects evaluation using eddy current testing Ind J Sci
Technol 2016 9(9) 1ndash724 Lafontaine G Hardy F and Renaud J X-Probe ECT
array a high-speed replacement for rotating probes In
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relation to structural integrity for nuclear and pressurized
components Seville 14ndash16 November 2001 pp 14ndash16
Brussels European Commission25 Xiang P Ramakrishnan S Cai X et al Automated analy-
sis of rotating probe multi-frequency eddy current data
from steam generator tubes Int J Appl Electrom 2000 12
151ndash16426 Xin J Lei N Udpa L et al Nondestructive inspection
using rotating magnetic field eddy-current probe IEEE T
Magn 2011 47 1070ndash107327 Huang H Sakurai N Takagi T et al Design of an eddy-
current array probe for crack sizing in steam generator
tubes NDTampE Int 2003 36 515ndash52228 Jella PK Automated compensation and classification algo-
rithms for array probe eddy current nondestructive evalua-
tion East Lansing MI Michigan State University 200429 Xin J Design and analysis of rotating field eddy current
probe for tube inspection East Lansing MI Michigan
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technique for WWER steam generators inspection Lon-
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electromagnetic testing ASNT 2004 httpswwwasn-
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eling of pulsed eddy currents in a conducting half-space
IEEE T Magn 1990 26 299ndash30733 Yang G Tamburrino A Udpa L et al Pulsed eddy-
current based giant magnetoresistive system for the
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910ndash91734 Li X Gao B Woo WL et al Quantitative surface crack
evaluation based on eddy current pulsed thermography
IEEE Sens J 2017 17 412ndash42135 Bowler J and Johnson M Pulsed eddy-current response
to a conducting half-space IEEE T Magn 1997 33
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36 Shokralla S Morelli JE and Krause TW Principal com-
ponents analysis of multifrequency eddy current data
used to measure pressure tube to calandria tube gap
IEEE Sens J 2016 16 3147ndash315437 Harrison D Eddy-current inspection using hall sensors and
transient excitation Defence Research Agency Technical
Report no DRASMCTR941008 1994 Farnborough
DRA38 Harrison D Progress in the detection of cracks under
installed fasteners using eddy currents In AGARD Con-
ference Proceedings on Impact of Emerging NDE-NDI
Methods on Aircraft Design Manufacture and Mainte-
nance (No462) 1990 15 1ndash839 Giguere J Lepine B Dubois J et al Detection of cracks
beneath rivet heads via pulsed eddy current technique In
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6 February 2002 pp 1968ndash1975 Melville NY AIP40 Di Iorio F Low field magnetic sensing with giant magneto
resistive sensors Naples Universita degli Studi di Napoli
Federico II 200841 Postolache O Ramos HG and Ribeiro AL Characteriza-
tion of defects in aluminum plates using GMR probes
and neural network signal processing In Proceedings of
the XVI-IMEKO TC4 symposium Florence 200842 Reig C Cubells-Beltran MD and Munoz DR Magnetic
field sensors based on giant magnetoresistance (GMR)
technology applications in electrical current sensing Sen-
sors 2009 9 7919ndash794243 Deng Y and Liu X Electromagnetic imaging methods for
nondestructive evaluation applications Sensors 2011 11
11774ndash1180844 Jander A Smith C and Schneider R Magnetoresistive
sensors for nondestructive evaluation In Proceedings
of the nondestructive evaluation for health monitoring
and diagnostics San Diego CA 2005 pp 1ndash13 Bel-
lingham WA International Society for Optics and
Photonics45 Li W Yuan Xa Chen G et al A feed-through ACFM
probe with sensor array for pipe string cracks inspection
NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
of the sensors 2010 IEEE Kona HI 1ndash4 November
2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
signal analysis application to the experimental detection
and characterization of deep flaws in highly conductive
materials NDTampE Int 1997 30 163ndash17048 Lebrun B Jayet Y and Baboux JC Pulsed eddy current
application to the detection of deep cracks Mater Eval
1995 53 1296ndash130049 Kim J Yang G Udpa L et al Classification of pulsed
eddy current GMR data on aircraft structures NDTampE
Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
ductivity of metallic layers from pulsed eddy-current mea-
surements Rev Sci Instrum 1996 67 3965ndash397251 DrsquoAngelo G Laracca M Rampone S et al Fast eddy cur-
rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
international conference on mechatronics and automation
(ICMA) Beijing China 2ndash5 August 2015 pp 1805ndash
1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
artificial neural networks Comp Stand Inter 2011 33
191ndash200
54 Yang G Zeng Z Deng Y et al 3D EC-GMR sensor sys-
tem for detection of subsurface defects at steel fastener
sites NDTampE Int 2012 50 20ndash2855 Yang G Dib G Udpa L et al Rotating field EC-GMR
sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
current testing J Fund Appl Sci 2018 10 949ndash96458 Shim H-S Choi MS Lee DH et al A prediction method
for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
tions IEEE T Instrum Meas 2016 65 164ndash16961 Joubert PY Vourcrsquoh E and Thomas V Experimental
validation of an eddy current probe dedicated to the
multi-frequency imaging of bore holes Sensor Actuat A-
Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
crack depth using eddy current techniques with GMR-
based probes In Proceedings of the metrology for aero-
space (Metroaerospace) Benevento 4ndash5 June 2015 pp
335ndash339 New York IEEE63 Xie R Chen D Pan M et al Fatigue crack length sizing
using a novel flexible eddy current sensor array Sensors
2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
Sensors 2017 17 E57968 Abdalla A Ali K Paw J et al A novel eddy current test-
ing error compensation technique based on Mamdani-
type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
16 Measurement and Control
evaluation of their performances In Proceedings of the
15th world conference on NDT (WCNDT 2000) 2000
httpswwwndtnetarticlewcndt00papersidn591
idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
image processing techniques for nondestructive evalua-
tion In Proceedings of the international conference on
image processing Washington DC 23ndash26 October 1995
p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
rent testing system In Proceedings of the international
conference on intelligent systems engineering (ICISE)
Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 16: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/16.jpg)
36 Shokralla S Morelli JE and Krause TW Principal com-
ponents analysis of multifrequency eddy current data
used to measure pressure tube to calandria tube gap
IEEE Sens J 2016 16 3147ndash315437 Harrison D Eddy-current inspection using hall sensors and
transient excitation Defence Research Agency Technical
Report no DRASMCTR941008 1994 Farnborough
DRA38 Harrison D Progress in the detection of cracks under
installed fasteners using eddy currents In AGARD Con-
ference Proceedings on Impact of Emerging NDE-NDI
Methods on Aircraft Design Manufacture and Mainte-
nance (No462) 1990 15 1ndash839 Giguere J Lepine B Dubois J et al Detection of cracks
beneath rivet heads via pulsed eddy current technique In
Proceedings of the AIP conference Albuquerque NM 3ndash
6 February 2002 pp 1968ndash1975 Melville NY AIP40 Di Iorio F Low field magnetic sensing with giant magneto
resistive sensors Naples Universita degli Studi di Napoli
Federico II 200841 Postolache O Ramos HG and Ribeiro AL Characteriza-
tion of defects in aluminum plates using GMR probes
and neural network signal processing In Proceedings of
the XVI-IMEKO TC4 symposium Florence 200842 Reig C Cubells-Beltran MD and Munoz DR Magnetic
field sensors based on giant magnetoresistance (GMR)
technology applications in electrical current sensing Sen-
sors 2009 9 7919ndash794243 Deng Y and Liu X Electromagnetic imaging methods for
nondestructive evaluation applications Sensors 2011 11
11774ndash1180844 Jander A Smith C and Schneider R Magnetoresistive
sensors for nondestructive evaluation In Proceedings
of the nondestructive evaluation for health monitoring
and diagnostics San Diego CA 2005 pp 1ndash13 Bel-
lingham WA International Society for Optics and
Photonics45 Li W Yuan Xa Chen G et al A feed-through ACFM
probe with sensor array for pipe string cracks inspection
NDTampE Int 2014 67 17ndash2346 Du W Nguyen H Dutt A et al Design of a GMR sensor
array system for robotic pipe inspection In Proceedings
of the sensors 2010 IEEE Kona HI 1ndash4 November
2010 pp 2551ndash2554 New York IEEE47 Lebrun B Jayet Y and Baboux J-C Pulsed eddy current
signal analysis application to the experimental detection
and characterization of deep flaws in highly conductive
materials NDTampE Int 1997 30 163ndash17048 Lebrun B Jayet Y and Baboux JC Pulsed eddy current
application to the detection of deep cracks Mater Eval
1995 53 1296ndash130049 Kim J Yang G Udpa L et al Classification of pulsed
eddy current GMR data on aircraft structures NDTampE
Int 2010 43 141ndash14450 Tai CC Rose JH and Moulder JC Thickness and con-
ductivity of metallic layers from pulsed eddy-current mea-
surements Rev Sci Instrum 1996 67 3965ndash397251 DrsquoAngelo G Laracca M Rampone S et al Fast eddy cur-
rent testing defect classification using Lissajous figures
IEEE T Instrum Meas 2018 67 821ndash83052 Zhang S Tang J and Wu W Calculation model for the
induced voltage of pick-up coil excited by rectangular
coil above conductive plate In Proceedings of the IEEE
international conference on mechatronics and automation
(ICMA) Beijing China 2ndash5 August 2015 pp 1805ndash
1810 New York IEEE53 Postolache O Ramos HG and Ribeiro AL Detection
and characterization of defects using GMR probes and
artificial neural networks Comp Stand Inter 2011 33
191ndash200
54 Yang G Zeng Z Deng Y et al 3D EC-GMR sensor sys-
tem for detection of subsurface defects at steel fastener
sites NDTampE Int 2012 50 20ndash2855 Yang G Dib G Udpa L et al Rotating field EC-GMR
sensor for crack detection at fastener site in layered struc-
tures IEEE Sens J 2015 15 463ndash47056 Kim Y-J and Lee S-S Eddy current probes of inclined
coils for increased detectability of circumferential cracks
in tubing NDTampE Int 2012 49 77ndash8257 Paw J Ali K Hen C et al Encircling probe with multi-
excitation frequency signal for depth crack defect in eddy
current testing J Fund Appl Sci 2018 10 949ndash96458 Shim H-S Choi MS Lee DH et al A prediction method
for the general corrosion behavior of alloy 690 steam
generator tube using eddy current testing Nucl Eng Des
2016 297 26ndash3159 Ribeiro AL Ramos HG and Postolache O A simple for-
ward direct problem solver for eddy current non-
destructive inspection of aluminum plates using uniform
field probes Measurement 2012 45 213ndash217
60 Yin W and Xu K A novel triple-coil electromagnetic sen-
sor for thickness measurement immune to lift-off varia-
tions IEEE T Instrum Meas 2016 65 164ndash16961 Joubert PY Vourcrsquoh E and Thomas V Experimental
validation of an eddy current probe dedicated to the
multi-frequency imaging of bore holes Sensor Actuat A-
Phys 2012 185 132ndash13862 Menezes R Ribeiro AL and Ramos HG Evaluation of
crack depth using eddy current techniques with GMR-
based probes In Proceedings of the metrology for aero-
space (Metroaerospace) Benevento 4ndash5 June 2015 pp
335ndash339 New York IEEE63 Xie R Chen D Pan M et al Fatigue crack length sizing
using a novel flexible eddy current sensor array Sensors
2015 15 32138ndash3215164 Suresh V Abudhahir A and Daniel J Development of
magnetic flux leakage measuring system for detection of
defect in small diameter steam generator tube Measure-
ment 2017 95 273ndash27965 Ye C Huang Y Udpa L et al Differential sensor mea-
surement with rotating current excitation for evaluating
multilayer structures IEEE Sens J 2016 16 782ndash78966 Lee KH Baek MK and Park IH Estimation of deep
defect in ferromagnetic material by low frequency eddy
current method IEEE T Magn 2012 48 3965ndash396867 Rifai D Abdalla AN Razali R et al An eddy current
testing platform system for pipe defect inspection based
on an optimized eddy current technique probe design
Sensors 2017 17 E57968 Abdalla A Ali K Paw J et al A novel eddy current test-
ing error compensation technique based on Mamdani-
type fuzzy coupled differential and absolute probes Sen-
sors 2018 18 E210869 Liu Z Tsukada K Hanasaki K et al Two-dimensional
eddy current signal enhancement via multifrequency data
fusion J Res Nondestruct Eval 1999 11 165ndash17770 Aliouane S Hassam M Badidi Bouda A et al Electro-
magnetic acoustic transducers (EMATs) design
16 Measurement and Control
evaluation of their performances In Proceedings of the
15th world conference on NDT (WCNDT 2000) 2000
httpswwwndtnetarticlewcndt00papersidn591
idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
image processing techniques for nondestructive evalua-
tion In Proceedings of the international conference on
image processing Washington DC 23ndash26 October 1995
p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
rent testing system In Proceedings of the international
conference on intelligent systems engineering (ICISE)
Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 17: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/17.jpg)
evaluation of their performances In Proceedings of the
15th world conference on NDT (WCNDT 2000) 2000
httpswwwndtnetarticlewcndt00papersidn591
idn591htm71 Bartels KA and Fisher JL Multifrequency eddy current
image processing techniques for nondestructive evalua-
tion In Proceedings of the international conference on
image processing Washington DC 23ndash26 October 1995
p 486 New York IEEE72 Kral J Smid R Ramos HMG et al The lift-off effect in
eddy currents on thickness modeling and measurement
IEEE T Instrum Meas 2013 62 2043ndash204973 Yadegari A Moini R Sadeghi S et al Output signal pre-
diction of an open-ended rectangular waveguide probe
when scanning cracks at a non-zero lift-off NDTampE Int
2010 43 1ndash774 Ditchburn R Burke S and Posada M Eddy-current non-
destructive inspection with thin spiral coils long cracks in
steel J Nondestruct Eval 2003 22 63ndash7775 Thollon F Lebrun B Burais N et al Numerical and
experimental study of eddy current probes in NDT of
structures with deep flaws NDTampE Int 1995 28 97ndash10276 Owston C Eddy-current testing at microwave frequen-
cies Non-Destruct Test 1969 2 193ndash19677 Ramos HG Postolache O Alegria FC et al Using the
skin effect to estimate cracks depths in metallic struc-
tures In Proceedings of the instrumentation and measure-
ment technology conference Singapore 5ndash7 May 2009
pp 1361ndash1366 New York IEEE78 Postolache O Ramos HG Ribeiro AL et al GMR based
eddy current sensing probe for weld zone testing In Pro-
ceedings of the sensors Christchurch New Zealand 25ndash
28 October 2009 pp 73ndash78 New York IEEE79 Faraj MA Samsuri F Abdalla AN et al Adaptive
neuro-fuzzy inference system model based on the width
and depth of the defect in an eddy current signal Appl
Sci 2017 7 66880 Faraj MA Fahmi S Damhuji R et al Investigate of the
effect of width defect on eddy current testing signals
under different materials Ind J Sci Technol 2017 10 1ndash581 Mook G Hesse O and Uchanin V Deep penetrating
eddy currents and probes Mater Test 2007 49 258ndash26482 Placko D and Dufour I Eddy current sensors for non-
destructive inspection of graphite composite materials
In Proceedings of the industry applications society annual
meeting conference Houston TX 4ndash9 October 1992
pp 1676ndash1682 New York IEEE83 Shull PJ Nondestructive evaluation theory techniques
and applications Boca Raton FL CRC Press 201684 Abbas S Khan TM Javaid SB et al Low cost
embedded hardware based multi-frequency eddy cur-
rent testing system In Proceedings of the international
conference on intelligent systems engineering (ICISE)
Islamabad Pakistan 15ndash17 January 2016 pp 135ndash140
New York IEEE85 Chen X and Lei Y Electrical conductivity measurement
of ferromagnetic metallic materials using pulsed eddy cur-
rent method NDTampE Int 2015 75 33ndash3886 Almeida G Gonzalez J Rosado L et al Advances in
NDT and materials characterization by eddy currents
Procedia CIRP 2013 7 359ndash36487 Cecco VS Drunen GV and Sharp FL Eddy current test-
ing manual on eddy current method Atomic Energy of
Canada Limited 1981 1 1ndash208
88 Mokros SG Underhill PR Morelli J et al Pulsed eddy
current inspection of wall loss in steam generator trefoil
broach supports Sensors 2016 17 444ndash44989 Davies C Dual mode coating thickness measuring instru-
ment Google Patents 2004 httpspatentsgooglecom
patentUS2002000851190 Fan M Cao B Yang P et al Elimination of liftoff effect
using a model-based method for eddy current characteri-
zation of a plate NDTampE Int 2015 74 66ndash7191 Dziczkowski L Elimination of coil liftoff from eddy cur-
rent measurements of conductivity IEEE Transactions on
Instrumentation and Measurement 2013 62 3301ndash330792 Lu M Zhu W Yin L et al Reducing the lift-off effect on
permeability measurement for magnetic plates from mul-
tifrequency induction data IEEE T Instrum Meas 2018
67 167ndash17493 Ribeiro AL Alegria F Postolache OA et al Liftoff cor-
rection based on the spatial spectral behavior of eddy-
current images IEEE T Instrum Meas 2010 59 1362ndash
136794 Wu Y Cao Z and Xu L A simplified model for non-
destructive thickness measurement immune to the lift-off
effect In Proceedings of the instrumentation and measure-
ment technology conference (I2MTC) Binjiang China
10ndash12 May 2011 pp 1ndash4 New York IEEE95 Huang C and Wu X Probe lift-off compensation method
for pulsed eddy current thickness measurement In Pro-
ceedings of 2014 3rd Asia-Pacific conference on antennas
and propagation Harbin China 26ndash29 July 2014 pp
937ndash939 New York IEEE96 Yu Y Yan Y Wang F et al An approach to reduce lift-
off noise in pulsed eddy current nondestructive technol-
ogy NDTampE Int 2014 63 1ndash697 Zhu W-l Shen H-x and Chen W-x New method for sup-
pressing lift-off effects based on Hough transform In
Proceedings of the international conference on measuring
technology and mechatronics automation Hunan China
11ndash12 April 2009 pp 653ndash656 New York IEEE98 Lopes Ribeiro A Ramos HG and Couto Arez J Liftoff
insensitive thickness measurement of aluminum plates
using harmonic eddy current excitation and a GMR sen-
sor Measurement 2012 45 2246ndash225399 Tian GY and Sophian A Reduction of lift-off effects for
pulsed eddy current NDT NDTampE Int 2005 38 319ndash
324100 Yin W Binns R Dickinson SJ et al Analysis of the lift-
off effect of phase spectra for eddy current sensors
IEEE T Instrum Meas 2007 56 2775ndash2781101 Tian GY Li Y and Mandache C Study of lift-off invar-
iance for pulsed eddy-current signals IEEE T Magn
2009 45 184ndash191102 Wei L Guoming C Xiaokang Y et al Analysis of the
lift-off effect of a U-shaped ACFM system NDTampE Int
2013 53 31ndash35103 Gotoh Y Matsuoka A and Takahashi N Electromag-
netic inspection technique of thickness of nickel-layer on
steel plate without influence of lift-off between steel and
inspection probe IEEE T Magn 2011 47 950ndash953104 Huang S Zhao W Zhang Y et al Study on the lift-off
effect of EMAT Sensor Actuat A-Phys 2009 153 218ndash
221105 Li J Wu X Zhang Q et al Measurement of lift-off using
the relative variation of magnetic flux in pulsed eddy
current testing NDTampE Int 2015 75 57ndash64
AbdAlla et al 17
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 18: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/18.jpg)
106 Wang H Li W and Feng Z Noncontact thickness mea-
surement of metal films using eddy-current sensors
immune to distance variation IEEE T Instrum Meas
2015 64 2557ndash2564107 Fan M Cao B Tian G et al Thickness measurement
using liftoff point of intersection in pulsed eddy current
responses for elimination of liftoff effect Sensor Actuat
A-Phys 2016 251 66ndash74108 He Y Pan M Chen D et al PEC defect automated clas-
sification in aircraft multi-ply structures with interlayer
gaps and lift-offs NDTampE Int 2013 53 39ndash46109 Amineh RK Ravan M Sadeghi SH et al Removal of
probe liftoff effects on crack detection and sizing in
metals by the AC field measurement technique IEEE T
Magn 2008 44 2066ndash2073110 Hoshikawa H and Koyama K A new eddy current sur-
face probe without lift-off noise In Proceedings of the
10th APCNDT Brisbane 2001 httpswwwndtnet
articleapcndt01papers224224htm111 Lu M Yin L Peyton AJ et al A novel compensation
algorithm for thickness measurement immune to lift-off
variations using eddy current method IEEE T Instrum
Meas 2016 65 2773ndash2779112 Lu M Xu H Zhu W et al Conductivity lift-off invar-
iance and measurement of permeability for ferrite metal-
lic plates NDTampE Int 2018 95 36ndash44
113 Wen D Fan M Cao B et al Lift-off point of intersec-
tion in spectral pulsed eddy current signals for thickness
measurement IEEE Sens Let 2018 2 1ndash4114 Yin W Peyton AJ and Dickinson SJ Simultaneous
measurement of distance and thickness of a thin metal
plate with an electromagnetic sensor using a simplified
model IEEE Sensors Letters 2004 53 1335ndash1338115 Wei L Guoming C Wenyan L et al Analysis of the
inducing frequency of a U-shaped ACFM system
NDTampE Int 2011 44 324ndash328116 Fan M Cao B Sunny AI et al Pulsed eddy current
thickness measurement using phase features immune to
liftoff effect NDTampE Int 2017 86 123ndash131117 Theodoulidis T Analytical modeling of wobble in eddy
current tube testing with bobbin coils J Res Nondestruct
Eval 2002 14 111ndash126118 Lopez LANM Ting DKS and Upadhyaya BR Remov-
ing eddy-current probe wobble noise from steam gen-
erator tubes testing using wavelet transform Prog Nucl
Energ 2008 50 828ndash835119 Shu L Songling H Wei Z et al Improved immunity to
lift-off effect in pulsed eddy current testing with two-
stage differential probes Russ J Nondestruct Test 2008
44 138ndash144120 Rocha TJ Ramos HG Ribeiro AL et al Magnetic sen-
sors assessment in velocity induced eddy current testing
Sensor Actuat A-Phys 2015 228 55ndash61121 Cardoso FA Rosado LS Franco F et al Improved
magnetic tunnel junctions design for the detection of
superficial defects by eddy currents testing IEEE T
Magn 2014 50 1ndash4122 Rosado LS Cardoso FA Cardoso S et al Eddy cur-
rents testing probe with magneto-resistive sensors and
differential measurement Sensor Actuat A-Phys 2014
212 58ndash67123 Ghafari E Costa H and Julio E RSM-based model to
predict the performance of self-compacting UHPC
reinforced with hybrid steel micro-fibers Constr Build
Mater 2014 66 375ndash383124 Chen Z and Miya K A new approach for optimal
design of eddy current testing probes J Nondestruct
Eval 1998 17 105ndash116125 Aldrin JC Sabbagh HA Zhao L et al Model-based
inverse methods for sizing cracks of varying shape and
location in bolt-hole eddy current (BHEC) inspections
In Proceedings of the AIP conference AIP Publishing
httpsaipscitationorgdoipdf10106314940557126 Betta G Ferrigno L Laracca M et al Optimized com-
plex signals for eddy current testing In Proceedings of
the instrumentation and measurement technology confer-
ence (I2MTC) Montevideo Uruguay 12ndash15 May
2014 pp 1120ndash1125 New York IEEE127 Xiangchao H and Feilu L Optimization of PECT sys-
tem for defect detection on aircraft riveted structures
In Proceedings of the 2011 international conference on
computer science and network technology (ICCSNT)
Harbin China 24ndash26 December 2011 pp 996ndash999
New York IEEE128 Pereira D and Clarke TG Modeling and design optimi-
zation of an eddy current sensor for superficial and sub-
superficial crack detection in inconel claddings IEEE
Sens J 2015 15 1287ndash1292129 Karthik VU Mathialakan T Jayakumar P et al Coil
positioning for defect reconstruction in a steel plate In
Proceedings of the 31st international review of progress in
applied computational electromagnetics (ACES) Williams-
burg VA 22ndash26 March 2015 pp 1ndash2 New York IEEE130 Deabes WA Amin HH and Abdelrahman M Opti-
mized fuzzy image reconstruction algorithm for ECT
systems In Proceedings of the IEEE international con-
ference on fuzzy systems (FUZZ-IEEE) Vancouver
BC Canada 24ndash29 July 2016 pp 1209ndash1215 New
York IEEE
131 Li N Cao M He C et al A multi-parametric indicator
design for ECT sensor optimization used in oil transmis-
sion Sensors 2016 17 2074ndash2088132 Thollon F and Burais N Geometrical optimization of
sensors for eddy currents non destructive testing and
evaluation IEEE T Magn 1995 31 2026ndash2031133 Qi H-l Zhao H Liu W-w et al Parameters optimization
and nonlinearity analysis of grating eddy current displa-
cement sensor using neural network and genetic algo-
rithm J Zhejiang Univ-Sc A 2009 10 1205ndash1212134 Rao BPC Shyamsunder MT Bhattacharya DK et al
Optimization of eddy-current probes for detection of
garter springs in pressurized heavy water reactors Nucl
Technol 1990 90 389ndash393135 Mamdani E and Assilian S An experiment in linguistic
synthesis with a fuzzy logic controller Int J Hum-Com-
put St 1999 51 135ndash147136 Blej M and Azizi M Comparison of Mamdani-type and
Sugeno-type fuzzy inference systems for fuzzy real time
scheduling Int J Appl Eng Res 2016 11 11071ndash11075137 Hamam A and Georganas ND A comparison of Mam-
dani and Sugeno fuzzy inference systems for evaluating
the quality of experience of Hapto-audio-visual applica-
tions In Proceedings of the IEEE international work-
shop on Haptic audio visual environments and games
Ottawa ON Canada 18ndash19 October 2008 pp 87ndash92
New York IEEE
18 Measurement and Control
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19
![Page 19: Challenges in improving the performance of eddy current](https://reader031.vdocument.in/reader031/viewer/2022012100/6169e31711a7b741a34c76f3/html5/thumbnails/19.jpg)
138 Buck JA Underhill PR Morelli JE et al Simultaneousmultiparameter measurement in pulsed eddy currentsteam generator data using artificial neural networksIEEE T Instrum Meas 2016 65 672ndash679
139 DrsquoAngelo G and Rampone S Shape-based defect classi-fication for non destructive testing In Proceedings of
the metrology for aerospace (Metroaerospace) Bene-vento 4ndash5 June 2015 pp 406ndash410 New York IEEE
140 Preda G and Hantila FI Nonlinear integral formulationand neural network-based solution for reconstruction ofdeep defects with pulse eddy currents IEEE T Magn
2014 50 113ndash116141 Rosado LS Ramos PM and Piedade M Real-time pro-
cessing of multifrequency eddy currents testing signalsdesign implementation and evaluation IEEE T Instrum
Meas 2014 63 1262ndash1271142 Habibalahi A Moghari MD Samadian K et al Improv-
ing pulse eddy current and ultrasonic testing stress mea-surement accuracy using neural network data fusionIET Sci Meas Technol 2015 9 514ndash521
143 Rosado LS Janeiro FM Ramos PM et al Defectcharacterization with eddy current testing usingnonlinear-regression feature extraction and artificialneural networks IEEE T Instrum Meas 2013 621207ndash1214
144 Babaei A Suratgar AA and Salemi AH Dimension esti-mation of rectangular cracks using impedance changesof the eddy current probe with a neural network J Appl
Res Technol 2013 11 397ndash401145 Peng X Eddy current crack extension direction evalua-
tion based on neural network In Proceedings of the
sensors Taipei Taiwan 28ndash31 October 2012 pp 1ndash4
New York IEEE146 Rosado L Janeiro FM Ramos PM et al Eddy currents
testing defect characterization based on non-linear
regressions and artificial neural networks In Proceed-
ings of the instrumentation and measurement technology
conference (I2MTC) Graz 13ndash16 May 2012 pp 2419ndash
2424 New York IEEE147 Zhang S and Yang H Inversion of eddy current NDE
signals using artificial neural network based forward
model and particle swarm optimization algorithm In
Proceedings of the international conference on informa-
tion and automation (ICIArsquo09) Macau China 22ndash24
June 2009 pp 1314ndash1319 New York IEEE148 Morabito E and Versaci M A fuzzy neural approach to
localizing holes in conducting plates IEEE T Magn
2001 37 3534ndash3537149 Guohou L Pingjie H Peihua C et al Application of
multi-sensor data fusion in defects evaluation based on
Dempster-Shafer theory In Proceedings of the instru-
mentation and measurement technology conference
(I2MTC) Binjiang China 10ndash12 May 2011 pp 1ndash5
New York IEEE150 Upadhyaya B Yan W Behravesh M et al Development
of a diagnostic expert system for eddy current data anal-
ysis using applied artificial intelligence methods Nucl
Eng Des 1999 193 1ndash11151 Fan M Wang Q Cao B et al Frequency optimization
for enhancement of surface defect classification using
the eddy current technique Sensors 2016 16 E649
AbdAlla et al 19