Real-Time Train Wheel Condition Monitoring by Fiber Bragg Grating Sensors
Wheel defects on trains, such as flat wheels and out-of-roundness, inevitably jeopardize the safety of railway operations. Regular visual inspection and checking by experienced workers are the commonly adopted practice to identify wheel defects. However, the defects may not be spotted in time. There...
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doaj-d10d7cbd7a174e259a596e413926e6772020-11-25T03:17:14ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772011-10-01810.1155/2012/409048409048Real-Time Train Wheel Condition Monitoring by Fiber Bragg Grating SensorsChuliang Wei0Qin Xin1W. H. Chung2Shun-yee Liu3Hwa-yaw Tam4S. L. Ho5 Department of Electronic Engineering, Shantou University, Guangdong 515063, China Department of Applied Mathematics, Université catholique de Louvain 1348, Louvain-la-Neuve, Belgium Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong KongWheel defects on trains, such as flat wheels and out-of-roundness, inevitably jeopardize the safety of railway operations. Regular visual inspection and checking by experienced workers are the commonly adopted practice to identify wheel defects. However, the defects may not be spotted in time. Therefore, an automatic, remote-sensing, reliable, and accurate monitoring system for wheel condition is always desirable. The paper describes a real-time system to monitor wheel defects based on fiber Bragg grating sensors. Track strain response upon wheel-rail interaction is measured and processed to generate a condition index which directly reflects the wheel condition. This approach is verified by extensive field test, and the preliminary results show that this electromagnetic-immune system provides an effective alternative for wheel defects detection. The system significantly increases the efficiency of maintenance management and reduces the cost for defects detection, and more importantly, avoids derailment timely.https://doi.org/10.1155/2012/409048 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chuliang Wei Qin Xin W. H. Chung Shun-yee Liu Hwa-yaw Tam S. L. Ho |
spellingShingle |
Chuliang Wei Qin Xin W. H. Chung Shun-yee Liu Hwa-yaw Tam S. L. Ho Real-Time Train Wheel Condition Monitoring by Fiber Bragg Grating Sensors International Journal of Distributed Sensor Networks |
author_facet |
Chuliang Wei Qin Xin W. H. Chung Shun-yee Liu Hwa-yaw Tam S. L. Ho |
author_sort |
Chuliang Wei |
title |
Real-Time Train Wheel Condition Monitoring by Fiber Bragg Grating Sensors |
title_short |
Real-Time Train Wheel Condition Monitoring by Fiber Bragg Grating Sensors |
title_full |
Real-Time Train Wheel Condition Monitoring by Fiber Bragg Grating Sensors |
title_fullStr |
Real-Time Train Wheel Condition Monitoring by Fiber Bragg Grating Sensors |
title_full_unstemmed |
Real-Time Train Wheel Condition Monitoring by Fiber Bragg Grating Sensors |
title_sort |
real-time train wheel condition monitoring by fiber bragg grating sensors |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2011-10-01 |
description |
Wheel defects on trains, such as flat wheels and out-of-roundness, inevitably jeopardize the safety of railway operations. Regular visual inspection and checking by experienced workers are the commonly adopted practice to identify wheel defects. However, the defects may not be spotted in time. Therefore, an automatic, remote-sensing, reliable, and accurate monitoring system for wheel condition is always desirable. The paper describes a real-time system to monitor wheel defects based on fiber Bragg grating sensors. Track strain response upon wheel-rail interaction is measured and processed to generate a condition index which directly reflects the wheel condition. This approach is verified by extensive field test, and the preliminary results show that this electromagnetic-immune system provides an effective alternative for wheel defects detection. The system significantly increases the efficiency of maintenance management and reduces the cost for defects detection, and more importantly, avoids derailment timely. |
url |
https://doi.org/10.1155/2012/409048 |
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