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Pipeline Leak Detection and Location Based on Model-Free Isolation of Abnormal Acoustic Signals

Author

Listed:
  • Fang Wang

    (College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China)

  • Weiguo Lin

    (College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China)

  • Zheng Liu

    (Faculty of Applied Science, University of British Columbia Okanagan, Kelowna, BC V1V 1V7, Canada)

  • Xianbo Qiu

    (College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China)

Abstract

Pipeline leaks will lead to energy waste, environmental pollution and a threat to human safety. This paper proposes a pipeline leak detection and location method based on the model-free isolation of abnormal (leak and operation) signals. An acoustic signal is first decomposed into “sub-signals” according to its zero-crossing points. Then, based on the definition of signal-to-noise ratio (SNR), the function between the SNR of sub-signal and the number of abnormal sub-signals is established, following which the position of each abnormal sub-signal in the acoustic signal is obtained by tracing its index. Based on this and the cross-correlation analysis, the operation sub-signals can be filtered, which is helpful for the precise leak location. The experimental results demonstrate the computational efficiency and lower false/missing alarm rate of the proposed method that provides an innovative solution for pipeline leak detection.

Suggested Citation

  • Fang Wang & Weiguo Lin & Zheng Liu & Xianbo Qiu, 2019. "Pipeline Leak Detection and Location Based on Model-Free Isolation of Abnormal Acoustic Signals," Energies, MDPI, vol. 12(16), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3172-:d:258749
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    Citations

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    Cited by:

    1. Wan Zhang & Ruihao Shen & Ning Xu & Haoran Zhang & Yongtu Liang, 2020. "Study on Optimization of Active Control Schemes for Considering Transient Processes in the Case of Pipeline Leakage," Energies, MDPI, vol. 13(7), pages 1-16, April.

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