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Active Acoustic Excitation Method for Leak Detection of Buried Gas Pipelines Based on Cavity Resonance Reflection

Authors :
Cui, Xiwang
Yan, Zhaoli
Gao, Yan
Cheng, Xiaobin
Source :
IEEE Sensors Journal; 2024, Vol. 24 Issue: 11 p17834-17845, 12p
Publication Year :
2024

Abstract

This article presents an active acoustic excitation method for leak detection of buried gas pipelines based on cavity resonance reflection. The principles of gas leakage in pipelines are analyzed, including the gas passage model and the gas cavity model. The principle of Helmholtz resonator is employed to establish the cavity model. For the cavity model, the relationships between cavity resonance frequency, acoustic impedance, sound pressure amplification, and leakage damage size are derived. The resonant effect of the gas cavity on the acoustic signal is considered in this study to solve the problem that the echo signal after long distance propagation and reflection becomes very weak. Numerical simulations are conducted to demonstrate the relationships between acoustic reflection coefficient of the leak hole size, cavity volume, and pipe wall thickness. In order to verify the effectiveness of the proposed method, a pipeline experimental rig with a length of 100 m is constructed. Sound waves are generated by a speaker and reflected echoes are received by a microphone. The cavity resonance reflection and echo characteristics of different leak hole size, different transmitting acoustic frequency, and different cavity volume are analyzed. The empirical mode decomposition (EMD) algorithm is used to decompose and reconstruct the echo signals to eliminate the noise interference in the pipeline system. An echo time-distance conversion method is used to visualize the locations of the leak hole and welds. Experimental results show that the proposed method can effectively detect the leak holes and welds in the pipeline.

Details

Language :
English
ISSN :
1530437X and 15581748
Volume :
24
Issue :
11
Database :
Supplemental Index
Journal :
IEEE Sensors Journal
Publication Type :
Periodical
Accession number :
ejs66562068
Full Text :
https://doi.org/10.1109/JSEN.2024.3383519