Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy

Pipeline leak detection has always been a relatively difficult technical problem; especially in urban pipeline leak detection, there are still many problems to be solved. A multipoint leak detection and location method for urban gas pipelines based on variational mode decomposition and relative entr...

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Main Authors: Yongmei Hao, Zhanghao Du, Juncheng Jiang, ZhiXiang Xing, Xinming Yan, Shuli Wang, Yongchao Rao
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2020/8868963
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author Yongmei Hao
Zhanghao Du
Juncheng Jiang
ZhiXiang Xing
Xinming Yan
Shuli Wang
Yongchao Rao
author_facet Yongmei Hao
Zhanghao Du
Juncheng Jiang
ZhiXiang Xing
Xinming Yan
Shuli Wang
Yongchao Rao
author_sort Yongmei Hao
collection DOAJ
description Pipeline leak detection has always been a relatively difficult technical problem; especially in urban pipeline leak detection, there are still many problems to be solved. A multipoint leak detection and location method for urban gas pipelines based on variational mode decomposition and relative entropy was proposed. Firstly, the experiment pipeline system was built, and the original signal was collected by acoustic emission technology; then, a variational model method was used to decompose the signal to obtain multiple intrinsic mode function (IMF) components with different characteristic scales. According to the characteristics of relative entropy, each component was analyzed, the appropriate IMF component was selected, and the selected component was reconstructed to obtain the observation signal. The multipoint leakage location model of the urban gas pipeline was established. The number of source signals was estimated by singular value decomposition, and the leakage signals were separated; finally, the accurate location of leakage point was achieved by cross-correlation positioning. The results showed that the average relative error of the pipeline leak location results is 2.97%, and the leak location accuracy is significantly improved, achieving the purpose of precise location.
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institution Kabale University
issn 1070-9622
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language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series Shock and Vibration
spelling doaj-art-3be4e6e9ebdb4c01ae12b158b8169e4a2025-08-20T03:55:41ZengWileyShock and Vibration1070-96221875-92032020-01-01202010.1155/2020/88689638868963Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative EntropyYongmei Hao0Zhanghao Du1Juncheng Jiang2ZhiXiang Xing3Xinming Yan4Shuli Wang5Yongchao Rao6School of Environmental and Safety Engineering, Changzhou University, Changzhou 213164, ChinaSchool of Environmental and Safety Engineering, Changzhou University, Changzhou 213164, ChinaSchool of Environmental and Safety Engineering, Changzhou University, Changzhou 213164, ChinaSchool of Environmental and Safety Engineering, Changzhou University, Changzhou 213164, ChinaChangzhou Branch of Jiangsu Special Equipment Safety Supervision and Inspection Institute, Changzhou 213161, ChinaSchool of Environmental and Safety Engineering, Changzhou University, Changzhou 213164, ChinaSchool of Environmental and Safety Engineering, Changzhou University, Changzhou 213164, ChinaPipeline leak detection has always been a relatively difficult technical problem; especially in urban pipeline leak detection, there are still many problems to be solved. A multipoint leak detection and location method for urban gas pipelines based on variational mode decomposition and relative entropy was proposed. Firstly, the experiment pipeline system was built, and the original signal was collected by acoustic emission technology; then, a variational model method was used to decompose the signal to obtain multiple intrinsic mode function (IMF) components with different characteristic scales. According to the characteristics of relative entropy, each component was analyzed, the appropriate IMF component was selected, and the selected component was reconstructed to obtain the observation signal. The multipoint leakage location model of the urban gas pipeline was established. The number of source signals was estimated by singular value decomposition, and the leakage signals were separated; finally, the accurate location of leakage point was achieved by cross-correlation positioning. The results showed that the average relative error of the pipeline leak location results is 2.97%, and the leak location accuracy is significantly improved, achieving the purpose of precise location.http://dx.doi.org/10.1155/2020/8868963
spellingShingle Yongmei Hao
Zhanghao Du
Juncheng Jiang
ZhiXiang Xing
Xinming Yan
Shuli Wang
Yongchao Rao
Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy
Shock and Vibration
title Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy
title_full Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy
title_fullStr Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy
title_full_unstemmed Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy
title_short Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy
title_sort research on multipoint leak location of gas pipeline based on variational mode decomposition and relative entropy
url http://dx.doi.org/10.1155/2020/8868963
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