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Towards low-cost fault diagnosis in large component-based systems

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Pencole, Yannick; Kamenetsky, Dmitry; Schumann, A.

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The problem known as fault diagnosis in discrete-event systems is to determine a method for monitoring large systems and efficiently performing diagnosis given the flow of observations. The classical model-based approach for monitoring discrete-event syst

dc.contributor.authorPencole, Yannick
dc.contributor.authorKamenetsky, Dmitry
dc.contributor.authorSchumann, A.
dc.coverage.spatialBeijing China
dc.date.accessioned2015-12-07T22:15:20Z
dc.date.createdAugust 29-September 1 2006
dc.identifier.urihttp://hdl.handle.net/1885/17866
dc.description.abstractThe problem known as fault diagnosis in discrete-event systems is to determine a method for monitoring large systems and efficiently performing diagnosis given the flow of observations. The classical model-based approach for monitoring discrete-event syst
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.titleTowards low-cost fault diagnosis in large component-based systems
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2007
local.identifier.absfor080199 - Artificial Intelligence and Image Processing not elsewhere classified
local.identifier.ariespublicationu8803936xPUB2
local.type.statusPublished Version
local.contributor.affiliationPencole, Yannick, College of Engineering and Computer Science, ANU
local.contributor.affiliationKamenetsky, Dmitry, College of Engineering and Computer Science, ANU
local.contributor.affiliationSchumann, A., College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1543
local.bibliographicCitation.lastpage1548
local.identifier.doi10.1016/B978-008044485-7/50247-5
dc.date.updated2015-12-07T07:44:32Z
local.identifier.scopusID2-s2.0-84883991950
CollectionsANU Research Publications

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