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Real-Time Train Wheel Condition Monitoring by Fiber Bragg Grating Sensors

Authors :
Shantou University - Department of Electronic Engineering
UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique
The Hong Kong Polytechnic University - Department of Electrical Engineering
Hong Kong Polytechnic University - Department of Electrical Engineering
Wei, Chiulang
Xin, Qin
Chung, W. H.
Liu, Shun-Yee
Tam, Hwa-Yaw
Ho, S. L.
Shantou University - Department of Electronic Engineering
UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique
The Hong Kong Polytechnic University - Department of Electrical Engineering
Hong Kong Polytechnic University - Department of Electrical Engineering
Wei, Chiulang
Xin, Qin
Chung, W. H.
Liu, Shun-Yee
Tam, Hwa-Yaw
Ho, S. L.
Source :
International Journal of Distributed Sensor Networks, Vol. 2012, p. 409048 (2012)
Publication Year :
2012

Abstract

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.

Details

Database :
OAIster
Journal :
International Journal of Distributed Sensor Networks, Vol. 2012, p. 409048 (2012)
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1130515388
Document Type :
Electronic Resource