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dc.contributor.authorNavarro Díaz, Adrián
dc.contributor.authorDelgado-Aguiñaga, J.A.
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.authorSantos Ruiz, Ildeberto de los
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2023-02-20T12:45:52Z
dc.date.available2023-02-20T12:45:52Z
dc.date.issued2022-10-18
dc.identifier.citationNavarro, A. [et al.]. Real-time leak diagnosis in water distribution systems based on a bank of observers and a genetic algorithm. "Water (Switzerland)", 18 Octubre 2022, vol. 14, núm. 20, article 3289, p. 1-20.
dc.identifier.issn2073-4441
dc.identifier.urihttp://hdl.handle.net/2117/383722
dc.description.abstractThe main contribution of this paper is to present a novel solution for the leak diagnosis problem in branched pipeline systems considering the availability of pressure head and flow rate sensors on the upstream (unobstructed) side and the downstream (constricted) side. This approach is based on a bank of Kalman filters as state observers designed on the basis of the classical water hammer equations and a related genetic algorithm (GA) which includes a fitness function based on an integral error that helps obtaining a good estimation despite the presence of noise. For solving the leak diagnosis problem, three stages are considered: (a) the leak detection is performed through a mass balance; (b) the region where the leak is occurring is identified by implementing a reduced bank of Kalman filters which localize the leak by sweeping all regions of the branching pipeline through a GA that reduces the computational effort; (c) the leak position is computed through an algebraic equation derived from the water hammer equations in steady-state. To assess this methodology, experimental results are presented by using a test bed built at the Tuxtla Gutiérrez Institute of Technology, Tecnológico Nacional de México (TecNM). The obtained results are then compared with those obtained using a classic extended Kalman filter which is widely used in solving leak diagnosis problems and it is highlighted that the GA approach outperforms the EKF in two cases whereas the EKF is better in one case.
dc.format.extent20 p.
dc.language.isoeng
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshGenetic algorithms
dc.subject.lcshLeak detectors
dc.subject.lcshWater -- Distribution
dc.subject.otherLeak diagnosis
dc.subject.otherBranched pipeline systems
dc.subject.otherKalman filter
dc.subject.otherGenetic algorithm
dc.subject.otherExperimental results
dc.titleReal-time leak diagnosis in water distribution systems based on a bank of observers and a genetic algorithm
dc.typeArticle
dc.subject.lemacAlgorismes genètics
dc.subject.lemacDetectors de fuites
dc.subject.lemacAigua -- Distribució
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.3390/w14203289
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/2073-4441/14/20/3289
dc.rights.accessOpen Access
local.identifier.drac35165743
dc.description.versionPostprint (published version)
local.citation.authorNavarro, A.; Delgado-Aguiñaga, J.; Puig, V.; Santos, I.
local.citation.publicationNameWater (Switzerland)
local.citation.volume14
local.citation.number20, article 3289
local.citation.startingPage1
local.citation.endingPage20


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