copyright © twi ltd 2013 remote condition monitoring using vibrational analysis for train door...
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![Page 1: Copyright © TWI Ltd 2013 Remote Condition Monitoring Using Vibrational Analysis for Train Door Control System VA-RCM Quarter 6 Meeting Vichaar Dimlaye](https://reader030.vdocuments.net/reader030/viewer/2022033106/56649c775503460f9492c228/html5/thumbnails/1.jpg)
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
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Content
• Review of Actions• Project Management
– Gantt Chart – Deliverable Status– Exploitation and Dissemination
• Quarter 6 Progress– Tasks Progress
• Finance• Summary
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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.
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Gantt Chart
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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
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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
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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
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Technical Progress
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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.
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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)
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Statistical Analysis of data (door closing)
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Statistical Analysis of data (door opening)
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Train Door / Location of the sensor for change in air pressure
Located in the side more sensitive to the closing shock
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Equipment
Compact chasisNI cDAQ-9184
AccelerometerSensonics PZS1
Laptop withLabVIEW Software
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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
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Time Domain Data
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Results (RMS Raw Acceleration Value)
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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.
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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.
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