Robust on-line diagnosis tool for the early accident detection in nuclear power plants

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dc.contributor.authorTolo, S.
dc.contributor.authorTian, X.
dc.contributor.authorBausch, N.
dc.contributor.authorBecerra, V.
dc.contributor.authorSanthosh, T. V.
dc.contributor.authorVinod, G.
dc.date.accessioned2020-12-04T09:12:35Z
dc.date.available2020-12-04T09:12:35Z
dc.date.issued2019
dc.description.divisionRSDen
dc.format.extent4544 bytes
dc.format.mimetypetext/html
dc.identifier.sourceReliability Engineering and System Safety, 2019. Vol. 186: pp. 110-119en
dc.identifier.urihttp://hdl.handle.net/123456789/21559
dc.language.isoenen
dc.subjectLOCAen
dc.subjectNeural networksen
dc.subjectPattern recognitionen
dc.subjectBayesian statisticsen
dc.subjectFault diagnosticsen
dc.subjectOn-line condition monitoringen
dc.titleRobust on-line diagnosis tool for the early accident detection in nuclear power plantsen
dc.typeArticleen

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