An Event Recognition Method for Φ-OTDR Based on the Gaussian Mixture Models and Hidden Markov Models

被引：0
|
作者：
Ma, Lilong [1 ,2 ]
Xu, Tuanwei [1 ,2 ]
Yang, Kaiheng [1 ]
Li, Fang [1 ,2 ]
机构：
[1] Chinese Acad Sci, Inst Semicond, Key Labs Transducer Technol, Beijing 100083, Peoples R China
[2] Univ Chinese Acad Sci, Coll Mat Sci & Optoelect Technol, Beijing 100089, Peoples R China
来源：
ADVANCED SENSOR SYSTEMS AND APPLICATIONS X | 2020年 / 11554卷
基金：
中国国家自然科学基金;
关键词：
Phi-OTDR; DAS; FFT; GMMs-HMMs;
D O I：
10.1117/12.2573624
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Fiber optic distributed acoustic sensing (DAS) based on phase-sensitive optical time-domain reflectometry (Phi-OTDR) technology has been widely used in safety monitoring areas including monitoring of oil/gas pipes, communication or power cable, perimeters and so on, however it suffers from the high nuisance alarm rate (NAR) due to the non-stationarity characteristics of signal and the interference of external environment. In this paper, GMMs-HMMs is utilized to reduce nuisance alarm rate, we prove that short time signal unit of appropriate length can contain the main frequency domain characteristics of signal, GMMs-HMMs is efficient recognition method for frequency domain sequence of signal, the experience results show the average recognition accuracy rate is 88.89% for seven events.
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页数：8
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