Quarter 6 Meeting - VA-RCM

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Remote Condition Monitoring Using
Vibrational Analysis for Train Door
Control System
VA-RCM
Quarter 6 Meeting
Vichaar Dimlaye
TWI, 10th March 2014
Copyright © TWI Ltd 2013
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 Looseness
LOCATION #1
105 mm
LOCATION #3
Accelerometer
on adhesive
mounting base
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
Laptop with
LabVIEW Software
Compact chasis
NI cDAQ-9184
Accelerometer
Sensonics PZS1
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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 EVALAD7980SDZ 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.
Copyright © TWI Ltd 2013
Copyright © TWI Ltd 2013
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