A comprehensive review of acoustic based leak localization method in pressurized pipelines

Zhongyu Hu, Salman Tariq, Tarek Zayed

Research output: Journal article publicationReview articleAcademic researchpeer-review

58 Citations (Scopus)


Pipelines are widely used in the transportation of water, oil, gas, etc. Leakage in pipelines leads to a great waste of natural resources and sometimes constitutes a public health risk. Due to its wave-like nature, acoustics is one of the most studied technology for leak detection and localization in pipelines. Over the past decades, numerous articles have been published to address leak localization problems with acoustic-based methods. However, a review of the research development on acoustic-based leak localization technology is lacking. Therefore, this paper utilizes bibliometric analysis to systematically examine the published research articles in this field. Analyses showe that investigations on acoustic-based leak localization technology became popular in the last decade. Most existing researches focus on or exploited the cross-correlation based methods. Furthermore, the most frequently investigated research objective is the development of a signal processing algorithm for denoising and extracting leak signals. Other efforts include altering the number of sensors, developing wireless detection systems, etc. Potential future directions are presented based on a summary of the limitations of the existing research. This paper provides an in-depth understanding of the state-of-the-art in this field to researchers and engineers. Additionally, it identifies prospective research areas based on the findings and limitations of the previous studies.

Original languageEnglish
Article number107994
JournalMechanical Systems and Signal Processing
Publication statusPublished - Dec 2021


  • Leak
  • Literature review
  • Localization
  • Pipeline
  • Research trend

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications


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