All from one, one for all, failure diagnosis of discrete event systems using representatives

dc.contributor.authorPencolé, Yannicken
dc.date.accessioned2026-01-01T06:40:36Z
dc.date.available2026-01-01T06:40:36Z
dc.date.issued2003en
dc.description.abstractFailure diagnosis in large and complex systems is a critical and challenging task. In the realm of model based diagnosis on discrete event systems, computing a failure diagnosis means computing the set of system behaviours that could explain observations. Depending on the diagnosed system, such behaviours can be numerous, so that a problem of representing them is induced. The paper discusses about this problem and presents a way of representing a diagnosis by the use of a partial order reduction technique.en
dc.description.statusPeer-revieweden
dc.format.extent5en
dc.identifier.issn1063-6730en
dc.identifier.scopus0345097621en
dc.identifier.urihttps://hdl.handle.net/1885/733798597
dc.language.isoenen
dc.relation.ispartofseriesProceedings: 15th IEEE International Conference on Tools with artificial Intelligenceen
dc.sourceProceedings of the International Conference on Tools with Artificial Intelligenceen
dc.titleAll from one, one for all, failure diagnosis of discrete event systems using representativesen
dc.typeConference paperen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage212en
local.bibliographicCitation.startpage208en
local.contributor.affiliationPencolé, Yannick; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.identifier.ariespublicationMigratedxPub17535en
local.identifier.purec5672510-8c71-4cc5-90e2-22103eeb2642en
local.identifier.urlhttps://www.scopus.com/pages/publications/0345097621en
local.type.statusPublisheden

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