Multipoint leak localization for pipelines via acoustic wave amplitude ratio

被引:1
|
作者
Zhu, Yongqiang [1 ]
Li, Shuaiyong [2 ,4 ]
Lang, Xianming [3 ,5 ]
Liu, Liang [1 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Comp Sci & Technol, Chongqing 400065, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Key Lab Ind Internet Things & Networked Control, Minist Educ, Chongqing 400065, Peoples R China
[3] Liaoning Petrochem Univ, Sch Informat & Control Engn, Fushun 113001, Peoples R China
[4] Chongqing Univ Posts & Telecommun, Chongqing, Peoples R China
[5] Liaoning Petrochem Univ, Fushun, Peoples R China
关键词
Multipoint leak localization; Differential evolution algorithm; Empirical wavelet transform; Signal denoising; Acoustic wave; FAULT-DIAGNOSIS; PRESSURE WAVE; LOCATION; TRANSFORM;
D O I
10.1016/j.psep.2024.03.094
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Pipeline leak localization is significant for maintaining the regular operation of pipelines. This paper proposes a multipoint leak localization method for pipelines via the acoustic wave amplitude ratio, which addresses the issue of the traditional time delay estimation method (TDE) not being able to locate multiple leaks simultaneously. Firstly, a multipoint leak localization method for pipelines is established without time delay estimation and acoustic velocity. This method merely needs to determine the amplitude of the leakage acoustic wave propagating to both ends of the pipeline to achieve leakage localization. Secondly, the improved empirical wavelet transform (IEWT) method denoises the leakage acoustic wave, which can obtain an accurate acoustic amplitude to reduce the localization error. Finally, the trouble that the mutation factor and crossover probability cannot be adaptively selected in the differential evolution (DE) algorithm is improved, and the improved differential evolution (IDE) algorithm is used to solve the objective function to obtain the position of each leakage point. Field experiments show that the multipoint leak localization method proposed in this paper has perfect accuracy, and the minimum localization error is 11 m.
引用
收藏
页码:60 / 75
页数:16
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