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dc.contributor.authorQuevedo Casín, Joseba Jokin
dc.contributor.authorAlippi, Cesare
dc.contributor.authorCugueró Escofet, Miquel Àngel
dc.contributor.authorNtalampiras, Stavros
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.authorRoveri, Manuel
dc.contributor.authorGarcía Valverde, Diego
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2015-03-19T11:57:36Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationQuevedo, J. [et al.]. Temporal/spatial model-based fault diagnosis vs. hidden Markov models change detection method: application to the Barcelona water network. A: Mediterranean Conference on Control & Automation. "MED 2013: 21st Mediterranean Conference on Control & Automation (MED): conference digest: June 25-28, 2013: Minoa Palace Resort & Spa, Platanias, Chania, Crete, Greece". Platanias-Chania, Crete: 2013, p. 394-400.
dc.identifier.urihttp://hdl.handle.net/2117/26837
dc.description.abstractThis paper deals with a comparison of two differ- ent fault diagnosis frameworks. The first method is based on a temporal/spatial model-based analysis by exploiting a-priori information about the system under study, so fault detection is based on monitoring the residuals of combined spatial and time series models obtained from the network. The second method aims at characterizing and detecting changes in the probabilistic pattern sequence of data coming from the network. Relation- ships between data streams are modelled through sequences of linear dynamic time-invariant models whose trained coefficients are used to feed a Hidden Markov Model (HMM). When the pattern structure of incoming data cannot be explained by the trained HMM, a change is detected. Here, the performance obtained from this two distinct approaches is examined by using a dataset coming from the Barcelona water transport network.
dc.format.extent7 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshWater-supply
dc.subject.lcshAutomation
dc.titleTemporal/spatial model-based fault diagnosis vs. hidden Markov models change detection method: application to the Barcelona water network
dc.typeConference report
dc.subject.lemacAigua--Abastament
dc.subject.lemacAutomatització
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
drac.iddocument12674589
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorQuevedo, J.; Alippi, C.; Cuguero, M.A.; Ntalampiras, S.; Puig, V.; Roveri, M.; García, D.
upcommons.citation.contributorMediterranean Conference on Control & Automation
upcommons.citation.pubplacePlatanias-Chania, Crete
upcommons.citation.publishedtrue
upcommons.citation.publicationNameMED 2013: 21st Mediterranean Conference on Control & Automation (MED): conference digest: June 25-28, 2013: Minoa Palace Resort & Spa, Platanias, Chania, Crete, Greece
upcommons.citation.startingPage394
upcommons.citation.endingPage400


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