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dc.contributor.authorSoldevila, Adrià
dc.contributor.authorJensen, Tom Nørgaard
dc.contributor.authorBlesa Izquierdo, Joaquim
dc.contributor.authorTornil Sin, Sebastián
dc.contributor.authorFernández Canti, Rosa M.
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2019-04-02T12:40:17Z
dc.date.issued2018
dc.identifier.citationSoldevila, A. [et al.]. Leak localization in water distribution networks using a Kriging data-based approach. A: IEEE Conference on Control Technology and Applications. "CCTA 2018 : 2nd IEEE Conference on Control Technology and Applications, Copenhaguen, Dinamarca, 21-24 august 2018, proceedings book". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-6.
dc.identifier.otherhttps://ieeexplore.ieee.org/document/8511502
dc.identifier.urihttp://hdl.handle.net/2117/131111
dc.description.abstractThis paper presents a Kriging data-based method for leak localization in Water Distribution Networks (WDNs). Given a set of sensors that provide pressure measurements in some inner nodes of the WDN, a WDN data-driven model of the pressure at each sensed node is created. Then, a pressure estimation of the remaining WDN nodes which are not sensed is provided by the Kriging interpolation method. The proposed leak localization strategy is based on the comparison of the pressure estimation in a leak scenario to the approximated pressure map in the same working conditions but in a no-leak scenario. The approximated pressure map is obtained by applying the proposed WDN data-driven model and Kriging to the actual measurements. As result of the comparison, the node that presents the maximum residual value, i.e. the maximum difference between its current and its reference pressure value, is initially pointed as a leaky node candidate. The proposed methodology is successfully applied to a real-data case study.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution-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.lcshAutomatic control
dc.subject.lcshWater-supply
dc.subject.otherPressure measurement
dc.subject.otherInterpolation
dc.subject.otherWater resources
dc.subject.otherPressure sensors
dc.subject.otherHydraulic systems
dc.subject.otherEstimation
dc.titleLeak localization in water distribution networks using a Kriging data-based approach
dc.typeConference report
dc.subject.lemacControl automàtic
dc.subject.lemacAigua -- Abastament
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.identifier.doi10.1109/CCTA.2018.8511502
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac23842511
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorSoldevila, A.; Jensen, Tom Nørgaard; Blesa, J.; Tornil-Sin, S.; Rosa M. Fernandez-Canti; Puig, V.
local.citation.contributorIEEE Conference on Control Technology and Applications
local.citation.publicationNameCCTA 2018 : 2nd IEEE Conference on Control Technology and Applications, Copenhaguen, Dinamarca, 21-24 august 2018, proceedings book
local.citation.startingPage1
local.citation.endingPage6


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