Spectral based pipeline leak detection using a single spatial measurement

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)


This study offers a vast improvement to the established Matched Field Processing (MFP) method for leak identification in terms of its versatility to pinpoint leaks with a single spatial measurement. All the previous schemes require at least two measurement signals of pressure head as well as transient signal of the upstream flow rate so as to render a solution to the leak identification problem. This study reformulates the one-dimensional identification procedure so that localization can be accomplished using a single spatial measurement. The numerical results convincingly demonstrate that the new method outweighs the conventional one as it provides a smoother objective function and hence robust to identify leaks using observations of greater noise levels. Checked against two recent laboratory experiments, the proposed method gave satisfactory localization to both of which. The new scheme can provide an improved (both in terms of efficiency and accuracy) initial estimate to the multidimensional optimizations required to localize multiple leaks.

Original languageEnglish
Article number107940
JournalMechanical Systems and Signal Processing
Publication statusPublished - Dec 2021


  • Leak detection
  • Matched field processing
  • Maximum likelihood estimation
  • Signal processing
  • Water hammer

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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