Paper
6 March 2015 The detection of wheel-flats based on fiber optic Bragg grating array
Qiushi Mi, Xiaorong Gao, Hongna Zhu, Jianqiang Guo, Zeyong Wang, Quanke Zhao
Author Affiliations +
Proceedings Volume 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation; 944632 (2015) https://doi.org/10.1117/12.2181235
Event: International Symposium on Precision Engineering Measurement and Instrumentation, 2014, Changsha/Zhangjiajie, China
Abstract
During the long-time working circle, the wheels will be damaged to a certain degree caused by the wearing, the impact, the loads, the climate and so on. In order to evaluate the health of the wheels and reduce the potential losses, many effective methods are used in railway health monitoring, such as laser method or ultrasonic method. But few of them can reach the demand of the real-time online detection, and integrate more comprehensive inspection function at the same time. A composite detection scheme for wheel-tread defects based on FBG sensing technique has been investigated in this paper. By collecting and analyzing the data from the sensors which are distributed on tracks and rails, we can precisely evaluate the Wheel-flats and also measure some other parameters used in rail health monitoring scheme such as speed, loads and axle counting measurement.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiushi Mi, Xiaorong Gao, Hongna Zhu, Jianqiang Guo, Zeyong Wang, and Quanke Zhao "The detection of wheel-flats based on fiber optic Bragg grating array", Proc. SPIE 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation, 944632 (6 March 2015); https://doi.org/10.1117/12.2181235
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Cited by 2 scholarly publications.
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KEYWORDS
Fiber Bragg gratings

Sensors

Inspection

Composites

Signal processing

Data processing

Demodulation

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