Experimental study on the leakage identification for the buried gas pipeline via vibration signals

It is difficult to detect and locate small leakages, especially for buried pipelines. Therefore, a non-intrusive leakage identification method for buried gas pipelines is proposed in this study. Accelerometers were arranged in the soil at a certain distance from the leakage orifice to capture the acceleration signals caused by leakage. A 7-layer wavelet transform was applied to extract the leakage characteristic frequency band. Meanwhile, the attenuation characteristics of vibration signals were analyzed and the signal amplitude attenuation patterns in the axial, radial, and circumferential directions were analyzed. The results show that the leakage recognition rate is nearly 100% by selecting a peak signal-to-noise ratio (P-SNR) threshold of 7.26. Thus, the non-intrusive method based on accelerometers can be successfully applied for the leakage monitoring of buried gas pipelines.

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Publication Details

Journal
Journal of Pipeline Science and Engineering
Published
2024-10-19
DOI
https://doi.org/10.1016/j.jpse.2024.100230
Citations
4
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
1.04
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article

Experimental study on the leakage identification for the buried gas pipeline via vibration signals

Xiugang Chen, Xiao Kang, Tao Gu, Yuxing Li et al.
4 citations
Journal of Pipeline Science and Engineering
Water Systems and Optimization
1.04
article

Experimental study on the leakage identification for the buried gas pipeline via vibration signals

Xiugang Chen, Xiao Kang, Tao Gu, Yuxing Li, Wenjie Liu, Cuiwei Liu
article en
4 citations

Abstract

It is difficult to detect and locate small leakages, especially for buried pipelines. Therefore, a non-intrusive leakage identification method for buried gas pipelines is proposed in this study. Accelerometers were arranged in the soil at a certain distance from the leakage orifice to capture the acceleration signals caused by leakage. A 7-layer wavelet transform was applied to extract the leakage characteristic frequency band. Meanwhile, the attenuation characteristics of vibration signals were analyzed and the signal amplitude attenuation patterns in the axial, radial, and circumferential directions were analyzed. The results show that the leakage recognition rate is nearly 100% by selecting a peak signal-to-noise ratio (P-SNR) threshold of 7.26. Thus, the non-intrusive method based on accelerometers can be successfully applied for the leakage monitoring of buried gas pipelines.

Journal of Pipeline Science and EngineeringVol. 5(2)
Shanghai Institute for Science of Science (CN), Shandong Special Equipment Inspection Institute (CN), China University of Petroleum, East China (CN)
Openalex Percentile: Top 25%
Water Systems and Optimization
1.04
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Experimental study on the leakage identification for the buried gas pipeline via vibration signals — Xiugang Chen, Xiao Kang, et al. · Journal of Pipeline Science and Engineering (2024) | TGRS Research Map | TGRS