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Leak Detection of Gas Pipelines Based on Characteristics of Acoustic Leakage and Interfering Signals

by Lingya Meng, Cuiwei Liu, Liping Fang, Yuxing Li, Juntao Fu

1 College of Information and Control Engineering, China University of Petroleum, Qingdao, China.
2 Provincial Key Laboratory of Oil and Gas Storage and Transportation Safety, University of Petroleum, Qingdao, China.
3 China SINOPEC Natural Gas Corporation, Beijing, China.
* Corresponding Author: Lingya Meng. Email: chuyun2323@163.com.

Sound & Vibration 2019, 53(4), 111-128. https://doi.org/10.32604/sv.2019.03835

Abstract

When acoustic method is used in leak detection for natural gas pipelines, the external interferences including operation of compressor and valve, pipeline knocking, etc., should be distinguished with acoustic leakage signals to improve the accuracy and reduce false alarms. In this paper, the technologies of extracting characteristics of acoustic signals were summarized. The acoustic leakage signals and interfering signals were measured by experiments and the characteristics of time-domain, frequency-domain and time-frequency domain were extracted. The main characteristics of time-domain are mean value, root mean square value, kurtosis, skewness and correlation function, etc. The features in frequency domain were obtained by frequency spectrum analysis and power spectrum density, while time-frequency analysis was accomplished by short time Fourier transform. The results show that the external interferences can be removed effectively by the characteristics of time domain, frequency domain and time-frequency domain. It can be drawn that the acoustic leak detection method can be applied to natural gas pipelines and the characteristics can help reduce false alarms and missing alarms.

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Cite This Article

APA Style
Meng, L., Liu, C., Fang, L., Li, Y., Fu, J. (2019). Leak detection of gas pipelines based on characteristics of acoustic leakage and interfering signals. Sound & Vibration, 53(4), 111-128. https://doi.org/10.32604/sv.2019.03835
Vancouver Style
Meng L, Liu C, Fang L, Li Y, Fu J. Leak detection of gas pipelines based on characteristics of acoustic leakage and interfering signals. Sound Vib . 2019;53(4):111-128 https://doi.org/10.32604/sv.2019.03835
IEEE Style
L. Meng, C. Liu, L. Fang, Y. Li, and J. Fu, “Leak Detection of Gas Pipelines Based on Characteristics of Acoustic Leakage and Interfering Signals,” Sound Vib. , vol. 53, no. 4, pp. 111-128, 2019. https://doi.org/10.32604/sv.2019.03835



cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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