A regular composite feature extraction method for vibration signal pattern recognition in optical fiber link system

Li Kai-Yan; Zhao Xing-Qun; Sun Xiao-Han; Wan Sui-Ren

doi:10.7498/aps.64.054304

Abstract

Phase optical time-domain reflectometer link monitoring system is a kind of sensor system which uses optical fiber as sensing medium. It can detect, recognize and locate invasive signals. The module of pattern recognition, which is one of the important parts of the system, can intelligently and instantly distinguish dangerous intrusions from safe disturbances. This paper proposes a regular composite feature extraction method which can be used for vibrational signal pattern recognition in an optical fiber monitoring system. This method applies an improved double-threshold method to detect the start-stop positions of the valid signal segments, and then combines the maximum energy and maximum signal noise ratio to select the main invasion feature segment within a sampling period. The composite eigenvectors, which are extracted by using the last time of the feature segment and wavelet packet energy spectrum, can be used by the support vector machine to recognize the signal patterns. Experiment results show that the accuracy rate of the pattern recognition has been improved significantly based on the proposed method in this paper.

Keywords:

Authors and contacts

1.
National Research Center for Optical Sensing/Communications Integrated Networking, Biological Science & medical Engineering, Southeast University, Nanjing 210096, China
Funds: Project support by the Frontier Research and Development Projects of Jiangsu Province, China (Grant Nos. BY2009155, BY2013073).

References

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[7]	Wang F F, Zhang Y R 2012 Chin. Phys. B 21 050204
[8]	Qu Z G, Feng H, Zeng Z M, Zhuge J C, Jin S J 2010 Measurement 43 513
[9]	Faiz Bukhari Mohd Suah, Musa Ahmad, Mohd Nasir Taib 2003 Sensors and Actuators B: Chemical 90 182
[10]	Qi H, Wang F B, Deng H 2013 Acta Phys. Sin. 62 104301 (in Chinese) [祁浩, 王福豹, 邓宏 2013 62 104301]
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[13]	Gao Q, Yi S H, Jiang Z F, Zhao Y X, Xu Y F 2012 Chin. Phys. B 21 064701
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Cited By

[1]	Li C Y, Teng Y T, Li X J 2012 Journal of Earthquake Engineering and Engineering Vibratio 32 16 (in Chinese) [李彩云, 滕云田, 李小军 2012地震工程与工程振动 32 16]
[2]	Juarez J C, Maier E W, Choi K N, Taylor H F 2005 Journal of Lightwave Technology 23 2081
[3]	Turitsyn S K, Boscolo S 2009 Transparent Optical Network Azores, June 28-July 2 2009 p1
[4]	Gu Yu, Li Qiang 2014 Chin. Phys. B 23 044213
[5]	Zhao J, Ding J, Wan S R, Sun X H 2011 Journal of Southeast University: Natural Science Edition 41 41 (in Chinese [赵杰, 丁吉, 万遂人, 孙小菡 2011 东南大学学报: 自然科学版 41 41
[6]	Zhang X G 2000 Acta Automatic Sinica 26 32 (in Chinese) [张学工 2000 自动化学报 26 32]
[7]	Wang F F, Zhang Y R 2012 Chin. Phys. B 21 050204
[8]	Qu Z G, Feng H, Zeng Z M, Zhuge J C, Jin S J 2010 Measurement 43 513
[9]	Faiz Bukhari Mohd Suah, Musa Ahmad, Mohd Nasir Taib 2003 Sensors and Actuators B: Chemical 90 182
[10]	Qi H, Wang F B, Deng H 2013 Acta Phys. Sin. 62 104301 (in Chinese) [祁浩, 王福豹, 邓宏 2013 62 104301]
[11]	Xu B G, Song A G, Fei S M 2011 Acta Electronica Sinica 38 1025 (in Chinese) [徐宝国, 宋爱国, 费树岷 2011 电子学报 38 1025]
[12]	Yang G A, Zhong B L, Huang R, Jia M P, Xu Y F 2001 Journal of Vibration and Shock 20 25 (in Chinese) [杨国安, 钟秉林, 黄仁, 贾民平, 许云飞 2001 振动与冲击 20 25]
[13]	Gao Q, Yi S H, Jiang Z F, Zhao Y X, Xu Y F 2012 Chin. Phys. B 21 064701
[14]	Mallat S 1989 IEEE Trans. Pattern Analysis and machine Intelligence 11 674
[15]	Xia S Y, Pan H, Jin L Z 2009 Computer Engineering and Applications 45 167 (in Chinese) [夏思宇, 潘泓, 金立左 2009 计算机工程与应用 45 167]

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Catalog

Vol. 64, Issue 5 - 2015-03-05

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