predictive maintenance for smart industry

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Predictive Maintenance for Smart Industry Multi-Sensors Solutions Enables Predictive Maintenance Innovative Approach for Condition Monitoring Vibration, Temperature, Humidity, and Ultrasonic Monitoring Complete Reference Design Reduces Time-to-market

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Page 1: Predictive Maintenance for Smart Industry

Predictive Maintenance for Smart IndustryMulti-Sensors Solutions Enables

Predictive Maintenance

Innovative Approach for Condition Monitoring

Vibration, Temperature, Humidity, and Ultrasonic Monitoring

Complete Reference Design Reduces Time-to-market

Page 2: Predictive Maintenance for Smart Industry

Predictive MaintenanceHow it works

Equipment / infrastructureto be monitored

• Decisions• Actions

Service

Integration with other systems:

ERP

Sensing

From Products to Solutions, ST covers the value chain of Predictive Maintenance

• Analytics • Post processing• Machine learning• Security

Cloud

Secure communication

Data collection, Security: authenticationOptional: Processing – Preconditioning / Analytics

Page 3: Predictive Maintenance for Smart Industry

Multi-Sensors Solutions

Large bandwidth vibrometers

Smart Industry

Current Approach Data Intensive ($$)

ST enables new approaches A fusion of sensors or Adaptive sensors constellation

Large Storage & Processing

Pre-processed Data & Alarms

Smart & Lighter Cloud IS

Microphone BW (>10kHz)

Accelerometer (<10kHz)

Temperature

Raw Data Collection

Local AI

Innovative approach for Condition Monitoring

Page 4: Predictive Maintenance for Smart Industry

Each Use Case Needs a SolutionBuilding Blocks

Motors Equipment Environmental

Wired Wireless

Vibration Acoustic Noise Environmental

Local Processing Edge Processing Cloud Processing

From Products to Solutions: ST covers the value chain of Predictive Maintenance

Sensing

Processing

Security

Connectivity

Page 5: Predictive Maintenance for Smart Industry

Accelerometer & Microphone

Mac

hine

con

ditio

n

Time

Conditionsstart to change

VibrationPower

Smoke

Failureminutes

days

months

weeks

UltraSound

Noise

Heat

Acce

lero

met

er

For v

ibra

tion

mea

sure

men

ts

Signal Bandwidth. Frequency Response & Filtering

Noise DensityLower Noise allows to identify earlier defects and wears

Number of axis3 axis allows to monitor all kind of defects/wears (imbalance, misalignment, bearings, etc.)

Power ConsumptionImportant merit figure for battery operated Sensor nodes

Output InterfaceDigital output is the optimal solution for complexity, cost and reliability

Mic

roph

one

For U

ltras

ound

&

Noi

se s

ensi

ng

Operative Bandwidth Microphone working in standard audio bandwidth as well as in the ultrasonic domain

Dynamic RangeHigh AOP (acoustic overload pressure) is required to keep sensing despite of the presence of strong environmental sound emissions

Output InterfaceBoth analog and digital for wide compatibility with processing units

Smart Industry

Distinctive Sensor Parameters for Predictive Maintenance

Page 6: Predictive Maintenance for Smart Industry

Symptoms According to Audio Frequency

Standard Audio Bandwidth Ultra-Sonic

Audible noise (CbM, Preventive Maintenance)

Predictive Maintenance

Post processing analysisUltrasonic frequencies to detect

and classify leaks

Distinctive Sensor Parameters for Predictive MaintenanceSmart Industry

Page 7: Predictive Maintenance for Smart Industry

Operating RangeWide temperature and humidity ranges to cover wide set of use cases

AccuracyHigh reading accuracy across whole temperature range

Output InterfaceDigital output is the optimal solution for complexity, cost and reliability

Power ConsumptionImportant merit figure for battery operated Sensor nodes

Environmental sensorsPr

essu

re s

enso

r

Signal full scaleThe Industrial market covers a broad scope of applications that range from very low vacuum

Temperature compensationTo guarantee sensor’s accuracy over the whole operating temperature range

Output InterfaceDigital output is the optimal solution for complexity, cost and reliability

Water and harsh environment resistance featureCompatible with large set of environments where water and chemicals are present

Tem

pera

ture

an

d hu

mid

ity

Distinctive Sensor Parameters for Predictive Maintenance

Smart Industry

Page 8: Predictive Maintenance for Smart Industry

Environmental sensing use casesCondition-based Monitoring Examples

Environmental sensors play critical roles in industrial applications

Pressure measurements for "air management” systems, whichmonitor the performance

indicators and the different stages of the air compressors connected to the compressed-air supply grid

Largely adopted in HVACsystem control water vapor Level or to help in regulating

parameters such as air temperature and blowing speed.

Measure operating temperatures, It’s useful fordetecting loose or improperly

terminated electrical connections, overloading, defective contacts, phase imbalances and other electrical problems.

Page 9: Predictive Maintenance for Smart Industry

Complete Reference PlatformCondition Monitoring & Predictive Maintenance

Top view

M12 industrialconnector

Bottom view

* Stack can be hosted by microcontroller but it is not included in STEVAL package

STEVAL-IDP005V1 – Reference Design

• Vibration, acoustic & environmental monitoring

• ARM® Cortex®-M4 core for signal processing & analysis on the edge

• Signal conditioning algorithms examples included

• Frequency & Time domain analysis: Accelerometer & Speed

• On-board Data EEPROM Storage

• Pressure, Humidity & temperature environmental monitoring

• IO-Link connectivity*