Application of Wavelet-Based EDA Algorithm in Detection and Location of Gas Pipeline Leak

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Authors

  • Yongmei Hao
     School of Environment and Safety Engineering, Changzhou University, Jiangsu Changzhou 213164 ,CN
  • Ming Xu
     Jiangsu Institute of Special Equipment Safety Supervision and Inspection Branch, Changzhou, Changzhou 213016 ,CN
  • Zhixiang Xing
     School of Environment and Safety Engineering, Changzhou University, Jiangsu Changzhou 213164 ,CN
  • Xiuzhou Li
     Jiangsu Institute of Special Equipment Safety Supervision and Inspection Branch, Changzhou, Changzhou 213016 ,CN
  • Xiaohu Mao
     Jiangsu Institute of Special Equipment Safety Supervision and Inspection Branch, Changzhou, Changzhou 213016 ,CN
  • Xinming Yan
     Jiangsu Institute of Special Equipment Safety Supervision and Inspection Branch, Changzhou, Changzhou 213016 ,CN

Keywords:

Gas Pipeline, Acoustic Emission Location, Wavelet De-Noising, EDA, Optimization.

Abstract

Under complex conditions and background noise, gas pipeline leakage is difficult to pinpoint. This paper calculates with EDA based on wavelet analysis of Archimedes copula function, with location accuracy improved significantly. Acoustic emission signal of pipeline leakage not only has short delay, but also carries large amounts of physical information, thus with unique advantage in leak detection and location. According to pipeline detection and location principle of acoustic emission inspection and considering characteristics of city gas pipeline, improvement is proposed for location formula, appropriate wavelet basis and decomposition level plus threshold function are selected to conduct wavelet decomposition and reconstruction of analog experimental leak source signal. With modulus maxima method, more precise time difference of upstream and downstream acoustic signal is obtained. With it as a population sample to apply in EDA algorithm based on Archimedes copula function for optimization of population sample, the result shows that this method can accurately pinpoint gas pipeline leak source.

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Published

2022-10-19

How to Cite

Hao, Y., Xu, M., Xing, Z., Li, X., Mao, X., & Yan, X. (2022). Application of Wavelet-Based EDA Algorithm in Detection and Location of Gas Pipeline Leak. Journal of Mines, Metals and Fuels, 64(10), 528–534. Retrieved from https://informaticsjournals.com/index.php/jmmf/article/view/31603

Issue

Volume 64, Issue 10, October 2016

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

 

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