Paper
23 April 2017 Application of FBG sensing technique for monitoring and early warning system of high-speed railway track conditions
Yongjia Zhang, Fang Liu, Yuhai Jing, Weilai Li
Author Affiliations +
Proceedings Volume 10323, 25th International Conference on Optical Fiber Sensors; 103237X (2017) https://doi.org/10.1117/12.2265412
Event: 25th International Conference on Optical Fiber Sensors, 2017, Jeju, Korea, Republic of
Abstract
High-speed railway has achieved remarkable development in China, and safety monitoring of high-speed railway is becoming an important research. Fiber bragg grating (FBG) sensing technology is applied for monitoring and early warning system of high-speed railway track condition in this paper. The sensor network is built by putting FBG sensors on the high-speed rail tracks, which is necessary for real-time online monitoring of railway track temperature, displacement and strain. These different variables are collected, processed and analyzed by FBG demodulator. In addition, the railway track temperature prediction model are established based on relevance vector regression algorithm, which further improves the prediction accuracy and generalization performance. The system has been applied in the realtime online monitoring and early warning system of Guangzhou-Shenzhen-Hong Kong high-speed railway track condition. The system is running in good condition and playing an important role in early warning.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yongjia Zhang, Fang Liu, Yuhai Jing, and Weilai Li "Application of FBG sensing technique for monitoring and early warning system of high-speed railway track conditions", Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 103237X (23 April 2017); https://doi.org/10.1117/12.2265412
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Cited by 5 scholarly publications.
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KEYWORDS
Fiber Bragg gratings

Sensors

Control systems

Data modeling

Safety

Sensing systems

Bridges

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