A fully data-driven approach for leak localization in water distribution networks

dc.contributor.authorRomero Ben, Luis
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.authorCembrano Gennari, Gabriela
dc.contributor.authorBlesa Izquierdo, Joaquim
dc.contributor.authorMeseguer Amela, Jordi
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2022-02-22T09:08:28Z
dc.date.available2022-02-22T09:08:28Z
dc.date.issued2021
dc.description© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
dc.description.abstractThis paper presents a data-driven technique for the localization of leaks in water distribution networks (WDN). The methodology requires hydraulic data, i.e., pressure measurements from a set of sensors installed throughout the network and topological information. Therefore, the hydraulic model of the WDN is not necessary for its operation. The hydraulic state of the complete set of nodes of the network is approximated by means of a graph-based interpolation technique. Then, a set of candidates where the leak can be located is achieved by comparing the computed states for both the leaky and nominal cases. The methodology is applied to a case study based on a real network, providing and discussing several graphical results and key performance indicators.
dc.description.peerreviewedPeer Reviewed
dc.description.sponsorshipThe authors want to thank the RIS3CAT Utilities 4.0 SENIX project (COMRDI16-1-0055), as well as the Spanish national project DEOCS (DPI2016-76493-C3-3-R) and the Spanish State Research Agency through the María de Maeztu Seal of Excel
dc.description.versionPostprint (author's final draft)
dc.format.extent6 p.
dc.identifier.citationRomero, L. [et al.]. A fully data-driven approach for leak localization in water distribution networks. A: European Control Conference. "ECC 2021: 19th European Control Conference: Rotterdam, The Netherlands, June 29-July 2, 2021: proceedings book". Institute of Electrical and Electronics Engineers (IEEE), 2021, p. 1851-1856. DOI 10.23919/ECC54610.2021.9654928.
dc.identifier.doi10.23919/ECC54610.2021.9654928
dc.identifier.urihttps://hdl.handle.net/2117/362821
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/MDM/2PE/MDM-2016-0656
dc.relation.projectidinfo:eu-repo/grantAgreement/AEO/1PE/DPI2016-76493-C3-3-R
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9654928
dc.rights.accessOpen Access
dc.rights.licensenameAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshWater-supply
dc.subject.lcshHydraulic circuits
dc.subject.lemacAigua -- Distribució
dc.subject.lemacCircuits hidràulics
dc.subject.lemacDetectors
dc.subject.otherData-driven
dc.subject.otherLeak localization
dc.subject.otherWater distribution network
dc.subject.otherGraph theory
dc.subject.otherKey performance indicators
dc.titleA fully data-driven approach for leak localization in water distribution networks
dc.typeConference report
dspace.entity.typePublication
local.citation.authorRomero, L.; Puig, V.; Cembrano, M.; Blesa, J.; Meseguer, J.
local.citation.contributorEuropean Control Conference
local.citation.endingPage1856
local.citation.publicationNameECC 2021: 19th European Control Conference: Rotterdam, The Netherlands, June 29-July 2, 2021: proceedings book
local.citation.startingPage1851
local.identifier.drac32521506

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