Ghazali, M.F., Beck, S.B.M., Shucksmith, J.D. et al. (2 more authors) (2011) Comparative study of instantaneous frequency based methods for leak detection in pipeline networks. Mechanical Systems and Signal Processing, 29. 187 - 200. ISSN 0888-3270
Abstract
Methods of pressure transient analysis can be seen as a promising, accurate and low-cost tool for leak and feature detection in pipelines. Various systems have been developed by several groups of researchers in recent years. Such techniques have been successfully demonstrated under laboratory conditions but are not yet established for use with real field test data. The current paper presents a comparative study of instantaneous frequency analysis techniques based on pressure transients recorded within a live distribution network. The instantaneous frequency of the signals are analysed using the Hilbert transform (HT), the Normalised Hilbert transform (NHT), Direct Quadrature (DQ), Teager Energy Operator (TEO) and Cepstrum. This work demonstrates the effectiveness of the instantaneous frequency analysis in detecting a leaks and other features within the network. NHT and DQ allowed for the identification of the approximate location of leaks. The performance TEO is moderate, with Cepstrum being the worst performing method. © 2011 Elsevier Ltd. All rights reserved.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2011 Elsevier. This is an author produced version of a paper subsequently published in Mechanical Systems and Signal Processing. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Pipeline system leakage analysis; Pressure transient wave; Signal analysis; Instantaneous frequency |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 31 Mar 2015 10:07 |
Last Modified: | 25 Oct 2016 00:07 |
Published Version: | http://dx.doi.org/10.1016/j.ymssp.2011.10.011 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.ymssp.2011.10.011 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:84622 |