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dc.contributor.authorLydersen, Stiannb_NO
dc.date.accessioned2014-12-19T14:00:23Z
dc.date.available2014-12-19T14:00:23Z
dc.date.created2014-03-28nb_NO
dc.date.issued1988nb_NO
dc.identifier708597nb_NO
dc.identifier.isbn82-7119-050-4nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/259267
dc.description.abstractIn traditional reliability life testing and accelerated life testing, usally only the failure mode and the lifetime upon failure or censoring, are recorded. The information obtained from such testing may be signicantly improved by aslo recording one or more measures of deterioration, such as wear depth, crack length, leakage rate, etc. Failure occurs when a measure of deterioration, or a combination of them, reach a critical value. This approach calls for refined reliability models and estimation techniqes. Established derministic models for some physical deterioration mechanisms are described. Alternative appraches for stochastic models are studied, such as cumulative stochastic processes, regression models with random cofficients, Wiener processes with random drift, and the Bernstein distribution and related models. Special attention is attached to models where a parameter set in the stochastic process is considered as a stochastic variable with one realization per specimen. Maximum likelihood estimatiors are studied and compared for the Wiener process model, and the Wiener process with random drift.nb_NO
dc.languageengnb_NO
dc.publisherNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for matematiske fagnb_NO
dc.relation.ispartofseriesDr.ingeniøravhandling, 0809-103X; 1988:32nb_NO
dc.titleReliability testing based on deterioration measurementsnb_NO
dc.typeDoctoral thesisnb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for matematiske fagnb_NO
dc.description.degreedr.ing.nb_NO
dc.description.degreedr.ing.en_GB


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