Leak detection for pipelines using in-pipe optical fiber pressure sensors and a paired-IRF technique Zeng, Wei, Gong, Jinzhe, Cook, Peter R, Arkwright, John W, Simpson, Angus R, Cazzolato, Benjamin S, Zecchin, Aaron C and Lambert, Martin F 2020, Leak detection for pipelines using in-pipe optical fiber pressure sensors and a paired-IRF technique, Journal of hydraulic engineering, vol. 146, no. 10, pp. 06020013-1-06020013-6, doi: 10.1061/(asce)hy.1943-7900.0001812. Attached Files Name Description MIMEType Size Downloads Title Leak detection for pipelines using in-pipe optical fiber pressure sensors and a paired-IRF technique Author(s) Zeng, Wei Gong, Jinzhe orcid.org/0000-0002-6344-5993 Cook, Peter R Arkwright, John W Simpson, Angus R Cazzolato, Benjamin S Zecchin, Aaron C Lambert, Martin F Journal name Journal of hydraulic engineering Volume number 146 Issue number 10 Start page 06020013-1 End page 06020013-6 Total pages 6 Publisher American Society of Civil Engineers Place of publication Reston, Va. Publication date 2020-10 ISSN 0733-9429 1943-7900 Keyword(s) Optic fiber Hydraulic transient Leak detection Water distribution system Water hammer Language eng DOI 10.1061/(asce)hy.1943-7900.0001812 Indigenous content off Field of Research 0905 Civil Engineering HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30140881 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Sat, 15 Aug 2020, 12:32:32 EST Sat, 15 Aug 2020, 12:33:20 EST Sun, 16 Aug 2020, 05:01:19 EST Tue, 18 Aug 2020, 06:03:16 EST Fri, 11 Sep 2020, 11:51:10 EST Fri, 11 Sep 2020, 11:54:10 EST Sat, 19 Sep 2020, 02:33:31 EST Sat, 06 Mar 2021, 01:33:14 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 67 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Sat, 15 Aug 2020, 12:33:20 EST

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