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A weak leak location method based on signal attenuation mechanism for energy transportation system

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  • Hu, Xuguang
  • Ma, Jilong
  • Zhao, Haoran
  • Ma, Dazhong

Abstract

Traditional leak location methods based on signal saltation points make it hard to locate the position of the weak leak event in the energy transportation system. To address it, a data-driven method based on signal attenuation mechanism is proposed in this paper. First, a wavelet adaptive threshold denoising procedure is proposed to obtain the pure signal from the collected data, and the decimal-coded genetic mechanism is designed to calculate the optimal threshold of wavelet decomposition for different layers. Second, the two-stage leak location method is proposed to calculate the position of the leak point through the combination analysis of pressure data change of both ends of the pipeline. Through the presented pressure signal attenuation mechanism, the leak location result is obtained from the data changes of both ends of the pipeline, not the time difference of arrived signal. With the above signal denoising and analysis way, the proposed method has the 1% location deviation of the leak point, which is superior to leak location methods based on signal saltation points such as wavelet transform. Finally, different experiment results are studied, and the analysis results show the effectiveness of the proposed method for the leak location problem.

Suggested Citation

  • Hu, Xuguang & Ma, Jilong & Zhao, Haoran & Ma, Dazhong, 2024. "A weak leak location method based on signal attenuation mechanism for energy transportation system," Energy, Elsevier, vol. 307(C).
    • Handle: RePEc:eee:energy:v:307:y:2024:i:c:s036054422402560x
    DOI: 10.1016/j.energy.2024.132786
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    References listed on IDEAS

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    1. Xu, Ziqiang & Li, Cheng & Mu, Lianbo & Wang, Suilin & Lu, Junhui & Lan, Yuncheng, 2024. "Leakage detection method of underground heating pipeline based on improved wavelet threshold function," Energy, Elsevier, vol. 295(C).
    2. Sukharev, Mikhail G. & Kulalaeva, Maria A., 2021. "Identification of model flow parameters and model coefficients with the help of integrated measurements of pipeline system operation parameters," Energy, Elsevier, vol. 232(C).
    3. Yang, Zhao & Xiong, Zhuang & Shao, Min, 2010. "A new method of leak location for the natural gas pipeline based on wavelet analysis," Energy, Elsevier, vol. 35(9), pages 3814-3820.
    4. He, Guoxi & Li, Yansong & Huang, Yuanjie & Sun, Liying & Liao, Kexi, 2019. "A framework of smart pipeline system and its application on multiproduct pipeline leakage handling," Energy, Elsevier, vol. 188(C).
    5. Zheng, Xuejing & Hu, Fangshu & Wang, Yaran & Zheng, Lijun & Gao, Xinyong & Zhang, Huan & You, Shijun & Xu, Boxiao, 2021. "Leak detection of long-distance district heating pipeline: A hydraulic transient model-based approach," Energy, Elsevier, vol. 237(C).
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