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Efficient on-line failure identification for discrete-event systems

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dc.contributor.authorSchumann, A.
dc.contributor.authorPencole, Yannick
dc.coverage.spatialBeijing China
dc.date.accessioned2015-12-07T22:16:48Z
dc.date.createdAugust 29-September 1 2006
dc.date.issued2007
dc.date.updated2015-12-07T07:57:33Z
dc.description.abstractThis chapter addresses the problem of diagnosing complex embedded discrete-event systems. Given a flow of observations from the system, the goal is to explain these observations by identifying possible failures. Approaches that efficiently compute the pos
dc.identifier.urihttp://hdl.handle.net/1885/18202
dc.publisherInternational Federation of Automatic Control (IFAC)
dc.relation.ispartofseriesSymposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS 2006)
dc.sourcePreprints of SAFEPROCESS 2006
dc.source.urihttp://www.au.tsinghua.edu.cn/safe/safeprocess2006/index.htm#symp
dc.titleEfficient on-line failure identification for discrete-event systems
dc.typeConference paper
local.bibliographicCitation.lastpage1374
local.bibliographicCitation.startpage1369
local.contributor.affiliationSchumann, A., College of Engineering and Computer Science, ANU
local.contributor.affiliationPencole, Yannick, College of Engineering and Computer Science, ANU
local.contributor.authoruidSchumann, A., u4077968
local.contributor.authoruidPencole, Yannick, u4054161
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080199 - Artificial Intelligence and Image Processing not elsewhere classified
local.identifier.ariespublicationu8803936xPUB3
local.identifier.doi10.1016/B978-008044485-7/50218-9
local.identifier.scopusID2-s2.0-84883980756
local.type.statusPublished Version

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