Leak detection in pipelines using Hilbert transform

Yan Gao, Yuyou Liu, Yifan Ma, Jun Yang

Research output: Contribution to conferencePaperpeer-review

Abstract

Water leakage has been a subject of increasing concern in recent decades due to the significant economic and environmental cost. Time delay estimation (TDE) plays a key role in the detection and location of water leaks using acoustic signals. A variety of TDE algorithms, such as cross-correlation based time delay estimators, have been proposed and implemented. This paper focuses on the use of Hilbert transform of pressure signals in combination with the cross-correlation process. The new analysis of the proposed method enables better understanding of the detectability of the leak by pressure measurements in the presence of interfering noise. Its performance in relation to leak detection is further compared to the well-established cross-correlation methods for TDE in detecting a leak from an actual PVC water pipe.

Original languageEnglish
Publication statusPublished - 2017
Externally publishedYes
Event46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017 - Hong Kong, China
Duration: Aug 27 2017Aug 30 2017

Conference

Conference46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017
Country/TerritoryChina
CityHong Kong
Period8/27/178/30/17

Bibliographical note

Publisher Copyright:
© 2017 Institute of Noise Control Engineering. All rights reserved.

ASJC Scopus Subject Areas

  • Acoustics and Ultrasonics

Keywords

  • Cross-correlation
  • Hilbert transform
  • Leak detection
  • Time delay estimation

Cite this