Review of research on acoustic emission methods to detect gas transmission pipeline leaks
The detection of gas pipeline leakage by acoustic emission method is a hot method at present.The research involves the generation theory and propagation law of acoustic emission signal of pipeline leakage,the picking and processing method of acoustic emission signal of leakage,and the intelligent identification and location of leakage source based on the signal.This article will review the research on acoustic emission detection of gas pipelines.Firstly,the principle of acoustic emission detection and location of pipeline leakage and the basic law of leakage acoustic emission signal generation are introduced.Then,the leakage source location method and related signal processing methods are described.In the aspect of signal processing,the application of wavelet analysis,local mean decomposition,empirical mode decomposition,and variational mode decomposition in dealing with leakage signals is emphatically analyzed.The advantages and disadvantages of various methods in identifying and locating leakage sources are analyzed in detail.The application of artificial intelligence represented by artificial neural networks,support vector machines,and deep learning in dealing with pipeline leakage acoustic emission signals is discussed.The research on longitudinal mode,torsional mode,and flexural mode of gas pipeline leakage signal and its application in leakage location are summarized.Besides,the experimental research status of leakage acoustic emission signal characteristics under different conditions is combed.Finally,it is concluded that the main difficulty of acoustic emission detection and location of gas pipeline leakage lies in the identification and extraction of leakage characteristics.The future research direction will focus on signal processing to improve the accuracy and distance of positioning.It is necessary to deepen the application of artificial intelligence in processing a large number of monitoring signals.The experimental research mainly explores the leakage characteristics under different conditions and establishes the characteristic leakage database.
public safetypipelinesleaksacoustic emission detectionsignal processingreview
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NSTL
万方数据
维普
