Leak detection of gas pipelines using acoustic signals based on wavelet transform and Support Vector Machine-Reference-Cited by-同舟云学术

Leak detection of gas pipelines using acoustic signals based on wavelet transform and Support Vector Machine

Published:2019-11 Issue: Volume:146 Page:479-489
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Xiao Rui,Hu Qunfang,Li Jie

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference39 articles.

1. A survey on gas leak detection and localization techniques;Murvay;J. Loss Prev. Process Ind.,2012

2. S. Scott, M. Barrufet, Worldwide Assessment of Industry Leak Detection Capabilities for Single & Multiphase Pipelines Project Report Prepared for the Minerals Management Service Under the MMS / OTRC Cooperative Research Agreement Task Order 18133, (2003) 125.

3. Computational fluid dynamic simulation of small leaks in water pipelines for direct leak pressure transduction;Ben-Mansour;Comput. Fluids,2012

4. Ten years of experience with leak detection by acoustic signal analysis;Fuchs;Appl. Acoust.,1991

5. Acoustical characteristics of leak signals in plastic water distribution pipes;Hunaidi;Appl. Acoust.,1999

Cited by 114 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey and Study of Signal and Data-Driven Approaches for Pipeline Leak Detection and Localization;Journal of Pipeline Systems Engineering and Practice;2024-05

2. Performance analysis of various machine learning algorithms for CO2 leak prediction and characterization in geo-sequestration injection wells;Process Safety and Environmental Protection;2024-03

3. Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network;Journal of Manufacturing Systems;2024-02

4. Domain-informed variational neural networks and support vector machines based leakage detection framework to augment self-healing in water distribution networks;Water Research;2024-02

5. Weak Pipeline Leak Signal Enhancement Method;IEEE Sensors Journal;2024-01-01