Motazedi, N. and Beck, S. orcid.org/0000-0003-2673-4179 (2018) Leak detection using cepstrum of cross-correlation of transient pressure wave signals. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science , 232 (15). pp. 2723-2735. ISSN 0954-4062
Abstract
A new leak detection method is proposed here which is based on the cepstrum of the cross-correlation of the pressure signals from two transducers. Computational simulations of leaks with different properties, size, position and shape, in a straight pipe and a T-Junction network were studied. The proposed method was successful in estimating leakages and the pipeline features with a high precision. For the results with a straight pipe, this method is considerably more accurate than using the cross-correlation leak detection method or the cepstrum method alone. However, the results obtained by cepstrum and cepstrum of cross-correlation for the T-Junction case were quite accurate, while cepstrum alone showed a slightly better precision.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © IMechE 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
Keywords: | Transient leak detection; cepstrum analysis; cross-correlation method; unsteady flow; computational fluid dynamics |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Multidisciplinary Engineering Education (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 01 May 2018 13:54 |
Last Modified: | 18 Nov 2020 20:25 |
Status: | Published |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/0954406217722805 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:130258 |