An approach for reliability prediction of instrumentation & control cables by artificial neural networks and Weibull theory for probabilistic safety assessment of NPPs

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dc.contributor.authorSanthosh, T. V.
dc.contributor.authorGopika, V.
dc.contributor.authorGhosh, A. K.
dc.date.accessioned2018-12-04T09:54:49Z
dc.date.available2018-12-04T09:54:49Z
dc.date.issued2018
dc.description.divisionRSDen
dc.format.extent4663 bytes
dc.format.mimetypetext/html
dc.identifier.sourceReliability Engineering and System Safety, 2018. Vol. 170: pp. 31-44en
dc.identifier.urihttp://hdl.handle.net/123456789/17360
dc.language.isoenen
dc.subjectArtificial neural networksen
dc.subjectInsulation resistanceen
dc.subjectAccelerated life testingen
dc.subjectWeibull reliabilityen
dc.subjectProbabilistic safety assessmenten
dc.subjectNuclear power plantsen
dc.titleAn approach for reliability prediction of instrumentation & control cables by artificial neural networks and Weibull theory for probabilistic safety assessment of NPPsen
dc.typeArticleen

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