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dc.contributor.authorSadiq, Rehan
dc.contributor.authorNajjaran, Homayoun
dc.contributor.authorHoorfar, Mina
dc.contributor.authorRodriguez, Manuel J.
dc.contributor.authorIslam, Mohammad Shafiqul
dc.date.accessioned2016-12-01T21:08:57Z
dc.date.available2017-03-01T16:14:47Z
dc.date.issued2016-04
dc.date.submitted2015-10
dc.identifier.issn0920-4741
dc.identifier.issn1573-1650
dc.identifier.urihttp://hdl.handle.net/1721.1/105506
dc.description.abstractThis paper presents an innovative decision support system (DSS) for prognostic and diagnostic analyses of water distribution system (WDS) failures. The framework of the DSS is based on four novel models developed and published by the authors of this paper. The four models include reliability assessment model, leakage potential model, leakage detection model, and water quality failure potential model. Information obtained from these models together with external information such as customer complaints, lab test results (if any), and historical information are integrated using Dempster-Shafer (D-S) theory to evaluate prognostic and diagnostic capabilities of the DSS. The prognostic capabilities of the DSS provide hydraulic and water quality states of a WDS whereas the diagnostic capabilities of the DSS help to identify the failure location with minimal time after the occurrence and will help to reduce false positive and false negative predictions. The framework has ‘unique’ capacity to bring the modeling information (hydraulic and Quality), consumer complaints, historical failure data, and laboratory test information under a single platform to perform a prognostic and diagnostic investigation of WDS failures (hydraulic and Quality). The proof of concept of the DSS has been demonstrated using data used in published four articles. The outcomes of this research widely addressed the uncertainties associated with WDS which improves the efficiency and effectiveness of diagnosis and prognosis analyses of WDS. It is expected that the developed integrated framework will help municipalities to make informed decisions to increase the safety, reliability and the security of public health.en_US
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC-SPG (Strategic Project Grants))en_US
dc.publisherSpringer Netherlandsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s11269-016-1326-6en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSpringer Netherlandsen_US
dc.titleIntegrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failuresen_US
dc.typeArticleen_US
dc.identifier.citationIslam, M. Shafiqul, Rehan Sadiq, Manuel J. Rodriguez, Homayoun Najjaran, and Mina Hoorfar. “Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures.” Water Resources Management 30, no. 8 (April 12, 2016): 2831–2850.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.mitauthorIslam, Mohammad Shafiqul
dc.relation.journalWater Resources Managementen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2016-08-18T15:20:06Z
dc.language.rfc3066en
dc.rights.holderSpringer Science+Business Media Dordrecht
dspace.orderedauthorsIslam, M. Shafiqul; Sadiq, Rehan; Rodriguez, Manuel J.; Najjaran, Homayoun; Hoorfar, Minaen_US
dspace.embargo.termsNen
dc.identifier.orcidhttps://orcid.org/0000-0002-5534-2126
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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