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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/111016
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dc.contributor.authorNguyen, S.-
dc.contributor.authorGong, J.-
dc.contributor.authorLambert, M.-
dc.contributor.authorZecchin, A.-
dc.contributor.authorSimpson, A.-
dc.date.issued2018-
dc.identifier.citationMechanical Systems and Signal Processing, 2018; 99:846-858-
dc.identifier.issn0888-3270-
dc.identifier.issn1096-1216-
dc.identifier.urihttp://hdl.handle.net/2440/111016-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilitySi Tran Nguyen Nguyen, Jinzhe Gong, Martin F. Lambert, Aaron C. Zecchin, Angus R. Simpson-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2017 Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.ymssp.2017.07.003-
dc.subjectLeak detection; linear system deconvolution; pseudo random binary sequence excitation; PRBS; water pipeline; hydraulic transient; water distribution systems-
dc.titleLeast squares deconvolution for leak detection with a pseudo random binary sequence excitation-
dc.typeJournal article-
dc.identifier.doi10.1016/j.ymssp.2017.07.003-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP140100994-
pubs.publication-statusPublished-
dc.identifier.orcidGong, J. [0000-0002-6344-5993]-
dc.identifier.orcidLambert, M. [0000-0001-8272-6697]-
dc.identifier.orcidZecchin, A. [0000-0001-8908-7023]-
dc.identifier.orcidSimpson, A. [0000-0003-1633-0111]-
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Civil and Environmental Engineering publications

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