Signal analysis-based detection of train track

Ning Xu; Yannan Yang

doi:10.1117/12.2523260

10 May 2019 Signal analysis-based detection of train track

Ning Xu, Yannan Yang

Proceedings Volume 11068, Second Symposium on Novel Technology of X-Ray Imaging; 110680H (2019) https://doi.org/10.1117/12.2523260
Event: Second Symposium on Novel Technology of X-Ray Imaging, 2018, Hefei, China

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.

Citation Download Citation

Ning Xu and Yannan Yang "Signal analysis-based detection of train track", Proc. SPIE 11068, Second Symposium on Novel Technology of X-Ray Imaging, 110680H (10 May 2019); https://doi.org/10.1117/12.2523260

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