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.

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Acknowledgments

The material presented in this paper is made possible by the Australian Postgraduate Award, Adelaide Researcher Scholarship (National), and by funding from the Australian Research Council.

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Published In

Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 131Issue 7July 2005
Pages: 596 - 604

History

Received: Oct 9, 2002
Accepted: Jul 21, 2004
Published online: Jul 1, 2005
Published in print: Jul 2005

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Authors

Affiliations

Pedro J. Lee [email protected]
Postgraduate Student, Centre for Applied Modelling in Water Engineering, School of Civil and Environmental Engineering, The Univ. of Adelaide, Adelaide SA 5005, Australia. E-mail: [email protected]
John P. Vítkovský [email protected]
Graduate Hydrologist, Water Assessment, Natural Resources and Mines, Indooroopilly QLD 4068, Australia. E-mail: [email protected]
Martin F. Lambert [email protected]
Associate Professor, Centre for Applied Modelling in Water Engineering, School of Civil and Environmental Engineering, The Univ. of Adelaide, Adelaide SA 5005, Australia. E-mail: [email protected]
Angus R. Simpson [email protected]
Associate Professor, Centre for Applied Modelling in Water Engineering, School of Civil and Environmental Engineering, The Univ. of Adelaide, Adelaide SA 5005, Australia. E-mail: [email protected]
James A. Liggett [email protected]
Professor Emeritus, School of Civil and Environmental Engineering, Cornell Univ., Ithaca, NY 14853-3501. E-mail: [email protected]

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