Variational mode decomposition-based method for locating leakage point of pipeline by acoustic emission

Abstract

The invention provides a variational mode decomposition-based method for locating a leakage point of a pipeline by acoustic emission. The method comprises the following steps: acquiring two acoustic signals emitted when the pipeline leaks by utilizing acoustic sensors installed at two ends of the pipeline; separately performing variational mode decomposition on the two acquired acoustic signals, and performing Gaussian smoothing on each mode in a decomposition process so as to realize noise elimination; performing cross-correlation analysis on the two acoustic signals after noise elimination processing to acquire time delay estimation of the two acoustic signals; and performing locating calculation on the position of the leakage point according to the acquired time delay estimation. According to the method for locating the leakage point of the pipeline, provided by the invention, the signals are processed by utilizing a variational mode decomposition method, and thus, interference of noise to the signals can be eliminated on the premise that substantive characteristics of the signals are kept; moreover, the cross-correlation analysis is performed on filtered signals, so that leakage point locating precision is effectively increased.

Description

technical field [0001] The invention relates to a method for locating pipeline leaks, in particular to a method for locating acoustic emission pipeline leaks based on variable mode decomposition. Background technique [0002] As an important means to improve the utilization efficiency of oil, water and other resources, reduce social and economic losses, and achieve sustainable development, the location of pipeline leaks has always been a hot research topic. Common leak location methods can be divided into two categories: one is the traditional manual diagnosis method, that is, the staff uses tools such as listening sticks to judge whether the pipeline is leaking or not and the location of the leak. However, this method has high requirements on the experience of the staff, and has the characteristics of being susceptible to environmental interference and large measurement errors. The other is a detection method based on signal processing and data analysis, through the detect...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the noise elimination effect is poor in the existing leak point sound signal collection process, resulting in poor positioning accuracy of pipeline leak points

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