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Proceedings Paper

Signal analysis-based detection of train track
Author(s): Ning Xu; Yannan Yang
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Paper Abstract

Thanks to the rapid development of phase sensitive optical fiber sensing technology, it provides advanced solution to detect the track of trains. In this study, by the use of signals collected from optical fiber sensors, a time-frequency analysis method called short-time Fourier transform (STFT) is used to extract the time-frequency characteristics, based on which power spectrum can be obtained. The power spectrum with high values can be clustered via k-means, which is then used for tracking the train positions. The experimental results show that the proposed method can effectively eliminate effects caused by different subgrades on the vibration signal, reduce false alarm rate, and verify the flexibility and reliability.

Paper Details

Date Published: 10 May 2019
PDF: 8 pages
Proc. SPIE 11068, Second Symposium on Novel Technology of X-Ray Imaging, 110680H (10 May 2019); doi: 10.1117/12.2523260
Show Author Affiliations
Ning Xu, Nanjing Univ. of Aeronautics and Astronautics (China)
Yannan Yang, Nanjing Univ. of Aeronautics and Astronautics (China)

Published in SPIE Proceedings Vol. 11068:
Second Symposium on Novel Technology of X-Ray Imaging
Yangchao Tian; Tiqiao Xiao; Peng Liu, Editor(s)

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