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dc.contributor.authorCheng, Tuoyua
dc.contributor.authorLi, Yuanzhe
dc.contributor.authorHarrou, Fouzi
dc.contributor.authorSun, Ying
dc.contributor.authorGao, Jinliang
dc.contributor.authorLeiknes, TorOve
dc.date.accessioned2021-01-03T13:36:45Z
dc.date.available2021-01-03T13:36:45Z
dc.date.issued2020-06-02
dc.identifier.urihttp://hdl.handle.net/10754/666800
dc.description.abstractEarly leakage detection and isolation are of paramount importance to the maintenance and resilience of the water distribution system (WDS). Efficient and accurate leakage detection and isolation algorithms could support practitioners to optimize WDS design and operation. Modern WDS, as equipped with supervisory control and data acquisition (SCADA), could record nodal measurements to facilitate training, validation, and selection of both mechanism-based and data-driven models. In this study for the battle of the leakage detection and isolation methods, a hybrid approach based on benchmark simulation and the ensemble multivariate changepoint detection (EMCPD) is proposed to detect leakage occurrences. Bilinear bivariate spatial interpolation for irregular spaced data and two-sample one-sided Student’s t-test is further invocated to isolate leakage sites.
dc.language.isoen
dc.publisherhttps://zenodo.org/
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.titleA Hybrid Leakage Detection and Isolation Approach Based on Ensemble Multivariate Changepoint Detection Methods
dc.typeArticle
dc.contributor.departmentWater Desalination and Reuse Center, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900 Saudi Arabia
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionWater Desalination and Reuse Center, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900 Saudi Arabia
dc.contributor.institutionSchool of Environment, Harbin Institute of Technology, Harbin 150090, China
dc.contributor.institutionComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
dc.contributor.affiliationWater Desalination and Reuse Center, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900 Saudi Arabia
pubs.publication-statusPublished
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode
refterms.dateFOA2021-01-03T13:36:45Z


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