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dc.contributor.authorYe, Lina
dc.contributor.authorDague, Philippe
dc.contributor.authorLonguet, Delphine
dc.contributor.authorBrandán Briones, Laura
dc.contributor.authorMadalinski, Agnes
dc.date.accessioned2023-07-04T14:30:53Z
dc.date.available2023-07-04T14:30:53Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/11086/548025
dc.descriptionPonencia presentada en la 22nd European Conference on Artificial Intelligence ECAI-16. La Haya, Holanda del 29 agosto al 2 de septiembre de 2016.es
dc.description.abstractFault diagnosis is a crucial and challenging task in the automatic control of complex systems, whose efficiency depends on the diagnosability property of a system. Diagnosability describes the system ability to determine whether a given fault has effectively occurred based on the observations. However, this is a very strong property that requires generally high number of sensors to be satisfied. Consequently, it is not rare that developing a diagnosable system is too expensive. To solve this problem, in this paper, we first define a new system property called manifestability that represents the weakest requirement on faults and observations for having a chance to identify on line fault occurrences and can be verified at design stage. Then, we propose an algorithm with PSPACE complexity to automatically verify it.en
dc.format.mediumElectrónico y/o Digital
dc.language.isoenges
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.sourcee-ISSN: 1879-8314
dc.subjectFault diagnosisen
dc.subjectManifestabilityen
dc.titleFault manifestability verification for discrete event systemsen
dc.typeconferenceObjectes
dc.description.filFil: Ye, Lina. Université Paris-Saclay. CentraleSupélec; France.fr
dc.description.filFil: Ye, Lina. Université Paris-Sud. Laboratoire de Recherche en Informatique; France.fr
dc.description.filFil: Ye, Lina. Centre National de la Recherche Scientifique. Laboratoire de Recherche en Informatique; France.fr
dc.description.filFil: Dague, Philippe. Université Paris-Sud. Laboratoire de Recherche en Informatique; France.fr
dc.description.filFil: Dague, Philippe. Centre National de la Recherche Scientifique. Laboratoire de Recherche en Informatique; France.fr
dc.description.filFil: Longuet, Delphine. Université Paris-Sud. Laboratoire de Recherche en Informatique; France.fr
dc.description.filFil: Longuet, Delphine. Centre National de la Recherche Scientifique. Laboratoire de Recherche en Informatique; France.fr
dc.description.filFil: Brandán Briones, Laura. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.es
dc.description.filFil: Madalinski, Agnes. Otto-von-Guericke-University Magdeburg; Germany.es
dc.journal.pagination1718-1719
dc.journal.volume285
dc.description.fieldCiencias de la Computación
dc.conference.cityLa Haya
dc.conference.countryPaíses Bajos
dc.conference.editorialIOS Press BV
dc.conference.event22nd European Conference on Artificial Intelligence ECAI-16
dc.conference.eventcityLa Haya
dc.conference.eventcountryPaíses Bajos
dc.conference.eventdate2016-8
dc.conference.journalFrontiers in Artificial Intelligence and Applications
dc.conference.publicationRevista
dc.conference.workArtículo Completo
dc.conference.typeConferencia
dc.identifier.doihttps://doi.org/10.3233/978-1-61499-672-9-1718
dc.contributor.orcidhttps://orcid.org/0000-0003-1679-0804es
dc.contributor.orcidhttps://orcid.org/0000-0002-8394-276Xes


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Attribution-NonCommercial 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International