copyright © twi ltd 2013 remote condition monitoring using vibrational analysis for train door...

Copyright © TWI Ltd 2013

Remote Condition Monitoring Using Vibrational Analysis for Train Door Control System

VA-RCM

Quarter 6 Meeting

Vichaar Dimlaye

TWI, 10th March 2014


Content

• Review of Actions• Project Management

– Gantt Chart – Deliverable Status– Exploitation and Dissemination

• Quarter 6 Progress– Tasks Progress

• Finance• Summary


Arising Actions from Q5 Meeting

• Action 1: VD to contact purchasing about capital request order for Hitex.

• Action 2: RG to arrange a meeting with Knorr-Brense in January.

• Action 3: VD to amend Gantt chart with respect to WP2.

• Action 4: RG to send analogue platform to MS.

• Action 5: VD to send TSB the exploitation plan as a separate attachment.


Gantt Chart


Deliverable Status

• D1.1 System Specification – Completed• D1.2 Review of Final System Specification –

16/05/14• D2.1 Defect Detection Algorithm – Completed• D2.2 Update on Defect Detection Algorithm -

06/06/14• D3.1 Firmware First Release – 21/04/14• D3.2 Firmware Final Release and report 29/08/14• D3.3 User Interface First Release – 23/06/14• D3.4 User Interface Final Release and Report –

29/08/14


Deliverable Status

• D4.1 Report on system identification – Completed

• D5.1 VARCM Beta Prototype – 28/02/14• D5.2 VARCM V1 System – 30/06/14• D5.3 Report on system development –

30/06/14• D6.1 Report on demonstration results –

29/08/14• D7.1 Interim Exploitation and

Dissemination - Completed


Exploitation and Dissemination

• Produced project technical brief and flyers • Attend conferences and events

– Long Marston Rail Demo Day 19th Dec 2013 - Test and Trials Opportunities – Contact Gatwick Carriages

– The Eleventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, June 2014 – Abstract submitted

• Organise meeting with Knorr-Bremse (on hold)• Disseminate internally through TWI membership

pool• Looking into further funding from TSB, H2020 or

JIP to continue the development of “VARCM” system


Technical Progress


Vibration Measurements

• Change in bolt looseness was detected in the frequency domain of the acquired signal,

• Changes in pneumatic air pressure is the critical cause on door failures/slowness

• Experiments were carried out at East Coast to introduce different air pressure and vibration measurements were captured.


Bolt LoosenessLOCATION #1

LOCATION #3

Accelerometer on adhesive

mounting base

105 mm

Accelerometer on adhesive

mounting base

The defect:

Loosening of support beam bolts (all 4) by 2 turns each (subtle defect)


Statistical Analysis of data (door closing)


Statistical Analysis of data (door opening)


Train Door / Location of the sensor for change in air pressure

Located in the side more sensitive to the closing shock


Equipment

Compact chasisNI cDAQ-9184

AccelerometerSensonics PZS1

Laptop withLabVIEW Software


Data Acquisition

• Data acquisition process were carried out while the door was closing

• A series of measurements were acquired under normal operating conditions.

• Some additional series were acquired with changes in pressures to simulate door failure.

Scenarios Pressure Time to close Number of Files

Pressure Change 1 High 5s 20

Base Line Normal 6s 20

Pressure Change 2 Low 8s 10

Pressure Change 3 Very Low 13s 20


Time Domain Data


Results (RMS Raw Acceleration Value)


Progress on Firmware

• Hardware: – Analog Devices ADXL001-70BEZ

single axis +-70g accelerometer on an EVAL-ADXL001-70Z evaluation board,

– Analog Devices AD7980 16-bit 1MSPS ADC on an EVAL-AD7980SDZ evaluation board NXP LPC4357FET256 on a Keil MCB4357 evaluation board

• Software:– Keil MDK-ARM Professional v4

version 4.73• Status:

– Accelerometer data sampled at 1MSPS via an SPI(SSP1) interface of the LPC4357FET256.


Conclusion

• Vibration measurements can be used to detect both bolt looseness and air pressure,

• Good correlations between change in air pressure (and hence speed of door) and damage sensitive feature (RMS),

• Large datasets is always required to increase sensitivity.

• Successful algorithm(based on Euclidean Distance and features extraction) implementation to assess simulated defects.

copyright © twi ltd 2013 remote condition monitoring using vibrational analysis for train door...

Documents

copyright twi

gantt chart slide

technical progress slide

subtle defect slide

twi membership pool

closing shock slide

meeting vichaar dimlaye

labview software slide