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Proceedings Paper

A MCSVM-based high-efficiency events-discrimination method for ADMZI-distributed infrared fiber vibration sensor
Author(s): Jianchang An; Miao Tian; Chunyu Ma; Zhenchen Li
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Paper Abstract

This paper presents a multi-class support vector machine (MCSVM) based high-efficiency events discrimination method for asymmetric dual Mach-Zehnder interferometers (ADMZI) distributed infrared fiber vibration sensor. This method combined empirical mode decomposition (EMD), kurtosis characteristics with MCSVM, which can improve the recognition rate effectively. Filed experimental results demonstrate that the proposed method can discriminate four common invasive events (climbing the fence, knocking the cable, cutting the fence, and waggling the fence) with an average recognition rate above 90.9%, which can satisfy actual application requirements.

Paper Details

Date Published: 23 October 2018
PDF: 8 pages
Proc. SPIE 10821, Advanced Sensor Systems and Applications VIII, 108211D (23 October 2018); doi: 10.1117/12.2500624
Show Author Affiliations
Jianchang An, Tianjin Univ. (China)
Miao Tian, Tianjin Univ. (China)
Chunyu Ma, Tianjin Univ. (China)
Zhenchen Li, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 10821:
Advanced Sensor Systems and Applications VIII
Tiegen Liu; Shibin Jiang, Editor(s)

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