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Proceedings Paper

Features extraction algorithm about typical railway perimeter intrusion event
Author(s): Jieyun Zhou; Chaodong Wang; Lihai Liu
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Paper Abstract

Research purposes: Optical fiber vibration sensing system has been widely used in the oil, gas, frontier defence, prison and power industries. But, there are few reports about the application in railway defence. That is because the surrounding environment is complicated and there are many challenges to be overcomed in the optical fiber vibration sensing system application. For example, how to eliminate the effects of vibration caused by train, the natural environments such as wind and rain and how to identify and classify the intrusion events. In order to solve these problems, the feature signals of these events should be extracted firstly. Research conclusions: (1) In optical fiber vibration sensing system based on Sagnac interferometer, the peak-to-peak value, peak-to-average ratio, standard deviation, zero-crossing rate, short-term energy and kurtosis may serve as feature signals. (2) The feature signals of resting state, climbing concrete fence, breaking barbed wire, knocking concrete fence and rainstorm have been extracted, which shows significant difference among each other. (3) The research conclusions can be used in the identification and classification of intrusion events.

Paper Details

Date Published: 25 October 2017
PDF: 6 pages
Proc. SPIE 10464, AOPC 2017: Fiber Optic Sensing and Optical Communications, 104641I (25 October 2017); doi: 10.1117/12.2285278
Show Author Affiliations
Jieyun Zhou, China Railway Siyuan Survey and Design Group Co., Ltd. (China)
Chaodong Wang, China Railway Siyuan Survey and Design Group Co., Ltd. (China)
Lihai Liu, China Railway Siyuan Survey and Design Group Co., Ltd. (China)

Published in SPIE Proceedings Vol. 10464:
AOPC 2017: Fiber Optic Sensing and Optical Communications
Zi-Sen Zhao; Leping Wei; Yanbiao Liao; Weixu Zhang; Desheng Jiang; Wei Wang; Kenneth T. V. Grattan, Editor(s)

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