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dc.contributor.authorEscobet Canal, Teresa
dc.contributor.authorQuevedo Casín, Joseba Jokin
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Disseny i Programació de Sistemes Electrònics
dc.date.accessioned2012-12-04T12:27:29Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationEscobet, T.; Quevedo, J.; Puig, V. A fault/anomaly system prognosis using a data-driven approach considering uncertainty. A: IEEE World Congress on Computational Intelligence. "IEEE World Congress on Computational Intelligence". Brisbane: 2012, p. 2325-2331.
dc.identifier.urihttp://hdl.handle.net/2117/17073
dc.format.extent7 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshDiagnosis - Data processing
dc.titleA fault/anomaly system prognosis using a data-driven approach considering uncertainty
dc.typeConference report
dc.subject.lemacDiagnòstic -- Informàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
drac.iddocument10771700
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorEscobet, T.; Quevedo, J.; Puig, V.
upcommons.citation.contributorIEEE World Congress on Computational Intelligence
upcommons.citation.pubplaceBrisbane
upcommons.citation.publishedtrue
upcommons.citation.publicationNameIEEE World Congress on Computational Intelligence
upcommons.citation.startingPage2325
upcommons.citation.endingPage2331


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