Wave separation and pipeline condition assessment using in-pipe fibre optic pressure sensors Shi, He, Gong, Jinzhe, Cook, Peter R, Arkwright, John W, Png, Gretel M, Lambert, Martin F, Zecchin, Aaron C and Simpson, Angus R 2019, Wave separation and pipeline condition assessment using in-pipe fibre optic pressure sensors, Journal of hydroinformatics, vol. 21, no. 2, pp. 371-379, doi: 10.2166/hydro.2019.051. Attached Files Name Description MIMEType Size Downloads Title Wave separation and pipeline condition assessment using in-pipe fibre optic pressure sensors Author(s) Shi, He Gong, Jinzhe orcid.org/0000-0002-6344-5993 Cook, Peter R Arkwright, John W Png, Gretel M Lambert, Martin F Zecchin, Aaron C Simpson, Angus R Journal name Journal of hydroinformatics Volume number 21 Issue number 2 Start page 371 End page 379 Total pages 9 Publisher IWA Publishing Place of publication Colchester, Eng. Publication date 2019 ISSN 1464-7141 Keyword(s) Hydraulic transient Optic fibre Pipeline condition assessment Water hammer Wave separation Science & Technology Technology Life Sciences & Biomedicine Physical Sciences Computer Science, Interdisciplinary Applications Engineering, Civil Environmental Sciences Water Resources Computer Science Engineering Environmental Sciences & Ecology Language eng DOI 10.2166/hydro.2019.051 Indigenous content off Field of Research 0905 Civil Engineering HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2019, IWA Publishing Persistent URL http://hdl.handle.net/10536/DRO/DU:30123819 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 Thu, 27 Jun 2019, 15:50:28 EST Fri, 28 Jun 2019, 05:00:41 EST Fri, 28 Jun 2019, 08:08:10 EST Thu, 22 Aug 2019, 06:01:58 EST Thu, 22 Aug 2019, 11:46:41 EST Thu, 22 Aug 2019, 11:48:25 EST Fri, 15 Nov 2019, 13:41:09 EST Tue, 15 Sep 2020, 16:05:13 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 138 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 27 Jun 2019, 15:50:28 EST

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