Mechanical Engineering Science

Research on Leak Location of Liquid-filled Pipe Based on Frequency Dispersion Characteristics



Due to the material problems and force majeure factors, the leakage will be occurred on the liquid-filled pipe resulting in waste of resources, environmental pollution and even endangering safety. Acoustic wave detection technology is widely used in buried pipeline leak detection, this technology mainly uses the wave (n=0, s=1) in the pipeline acoustic wave to locate the leak. When the leakage acoustic signal propagates along the liquid-filled pipe, the frequency dispersion characteristics can be obtained by wavelet decomposition. And there is a time delay (time difference) value between the leaky acoustic signals collected by the sensors at both ends of the leak. The outputs show that the results obtained by wavelet decomposition are in good agreement with the theoretical calculation results. Based on the obtained dispersion relation, the time delay values at different characteristic frequencies are analyzed by the cross-correlation method, and the leak location accuracy is discussed. This research content provides theoretical support and engineering application guidance for pipe leakage location technology.


liquid-filled pipe; frequency dispersion characteristics; leak location; time delay estimation value

Full Text:



Shengyong Mao,Zhicai Ye. China Statistical Yearbook[M]. China Statistics Press,2019;4-5.

Xiaoming Zheng.Current situation of leakage of urban water supply pipe network[J]. Urban and rural construction, 2015;(11):20-21.

China Town Water Supply Association. Urban water supply industry technology development plan in 2010 and long-term goals in 2020[M].China Construction Industry Press,2005;

J M Muggleton, M J Brennan, P W Linford. Axisymmetric wave propagation in fluid-filled pipes: wavenumber measurements in vacuo and buried pipes[J]Journal of Sound and Vibration,2004;270(1-2):171-190.

R J Pinnington, A R Briscoe, Externally applied sensor for axisymmetrical waves in a fluid-filled pipe[J]. Journal of Sound and Vibration,1994; (173):503–516.

Fuller, F J Fahy. Characteristics of wave propagation and energy distributions in cylindrical elastic shells filled with fluid, Journal of Sound and Vibration, 1982; (81): 501-518.

Hunaidi O, Chu W T. Acoustical characteristics of leak signals in plastic water distribution pipes[J] Applied Acoustics, 1999;58(3):235-254.

Li S, Wen Y, Li P, et al. Leak location in gas pipes using cross-time-frequency spectrum of leakage-induced acoustic vibrations[J]. Journal of Sound and Vibration, 2014;333(17): 3889-3903.

Gao Y, Brennan M J, Joseph P F. A comparison of time delay estimators for the detection of leak noise signals in plastic water distribution pipes[J]. Journal of Sound and Vibration, 2006;292(3-5): 552-570.

Hongmei Yan. Characteristic Analysis of Leakage Signal of Underground Water Pipe[D].Changchun: Changchun University of Science and Technology,1999.

Shangshang Ji. Research on Leakage Monitoring System of Water Supply Network[D]. Handan: Hebei University of Engineering, 2018.

Yumei Wen,Ping Li,Jing Yang. Signal correlation function estimation in adaptive time delay estimation value[J] Signal processing,2006(06):774-777.

Yajun Guo, Rongwei Nie, Jinan Zhu et al. Correlation location algorithm for pipe leakage based on 3 sensors[J].Journal of Nanjing University of Science and Technology,2003,27(6):682-685.

Xiaohong Gu, Guangxin Zhang, Dibo Hou, et al. Determining the Leakage Location of Water Pipes by Combining Wavelet Packet Decomposition and Energy Feature Extraction[J]. Journal of Sichuan University,2005,37(6):145-149.

Yan Gao, Yuyou Liu, Yifan Ma, et al. Application of the differentiation process into the correlation-based leak detection in urban pipe networks[J]. Mechanical Systems and Signal Processing. 2018;(112) 251–264.

Jing Yang. Research on Signal Analysis and Processing in Leak Detection and Location of Liquid-filled pipe[D].Chongqing: Chongqing University,2007.

Jianli Zhang, Kai Tong, Fang Ma. Experimental Research on Pipe Leak Point Location System with Correlation Analysis Method[J]. Journal of Harbin Institute of Technology, 2007; (06):875-878.



  • There are currently no refbacks.

Copyright (c) 2021 Lijun XIONG, Ping LU, Yun YANG, Li LI

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