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Frequency Domain Analysis for Detecting Pipeline Leaks
Authors:Pedro J. Lee  John P. Vítkovsky  Martin F. Lambert  Angus R. Simpson  James A. Liggett
Affiliation:1Postgraduate Student, Centre for Applied Modelling in Water Engineering, School of Civil and Environmental Engineering, The Univ. of Adelaide, Adelaide SA 5005, Australia. E-mail: plee@civeng.adelaide.edu.au
2Graduate Hydrologist, Water Assessment, Natural Resources and Mines, Indooroopilly QLD 4068, Australia. E-mail: john.vitkovsky@nrm.qld.gov.au
3Associate Professor, Centre for Applied Modelling in Water Engineering, School of Civil and Environmental Engineering, The Univ. of Adelaide, Adelaide SA 5005, Australia. E-mail: mlambert@civeng.adelaide.edu.au
4Associate Professor, Centre for Applied Modelling in Water Engineering, School of Civil and Environmental Engineering, The Univ. of Adelaide, Adelaide SA 5005, Australia. E-mail: asimpson@civeng.adelaide.edu.au
5Professor Emeritus, School of Civil and Environmental Engineering, Cornell Univ., Ithaca, NY 14853-3501. E-mail: jal8@cornell.edu
Abstract:This paper introduces leak detection methods that involve the injection of a fluid transient into the pipeline, with the resultant transient trace analyzed in the frequency domain. Two methods of leak detection using the frequency response of the pipeline are proposed. The inverse resonance method involves matching the modeled frequency responses to those observed to determine the leak parameters. The peak-sequencing method determines the region in which the leak is located by comparing the relative sizes between peaks in the frequency response diagram. It was found that a unique pattern was induced on the peaks of the frequency response for each specific location of the leak within the pipeline. The leak location can be determined by matching the observed pattern to patterns generated numerically within a lookup table. The procedure for extracting the linear frequency response diagram, including the optimum measurement position, the effect of unsteady friction, and the way in which the technique can be extended into pipeline networks, are also discussed within the paper.
Keywords:Leakage  Water pipelines  Frequency response  Resonance  Transient flow  Linear systems  
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