小波直接重构算法用于Φ-OTDR分布式振动传感信号识别  

Application of Wavelet Direct Reconstruction Algorithm in Distributed Vibration Sensing Signal Identification forΦ-OTDR

作　　者：张子奇 张钰清 孔梅[1] ZHANG Ziqi;ZHANG Yuqing;KONG Mei(School of Physics,Changchun University of Science and Technology,Changchun 130022)

机构地区：[1]长春理工大学物理学院,长春130022

出　　处：《长春理工大学学报（自然科学版）》2024年第6期45-50,共6页Journal of Changchun University of Science and Technology(Natural Science Edition)

基　　金：吉林省自然科学基金(20240101102JC)。

摘　　要：相敏光时域反射(Φ-OTDR)分布式振动传感系统需要通过一定的识别算法将规则的振动信号从无规则的噪声中识别出来,从而定位振动源。以往小波直接重构算法只适用于已知振动频率信号的识别,现在对采集到的背向瑞利散射信号在可测量频率范围内进行完整的小波分解和分层重构,然后结合动态阈值进行信号判定。实验显示该方法可以识别出可测量频率范围内的未知频率信号,特别是可以分辨极低频率的振动,其时间消耗与移动平均-移动差分算法在同一水平。The phase-sensitive optical time-domain reflectometry(Φ-OTDR)distributed vibration sensing system requires a recognition algorithm to identify regular vibration signals from random noise in order to locate the vibration source.The traditional wavelet direct reconstruction algorithm has only been applicable for the identification of known frequency vibration signals.The acquired backscattered Rayleigh signals are now subject to complete wavelet decomposition and hierarchical reconstruction within the measurable frequency range,followed by dynamic threshold-based signal determination.Experimental results demonstrate that this method can successfully identify unknown frequency signals within the measurable frequency range,particularly able to distinguish very low-frequency vibrations,and the time consumption is comparable to the Moving Average-Moving Difference algorithm.

关 键 词：相敏光时域反射 小波降噪 移动差分-移动平均算法 信号识别 

分 类 号：O439[机械工程—光学工程]