Bayesian models and ageing indicators for analysing random changes in failure occurrence

Urho Pulkkinen (Corresponding Author), Kaisa Simola

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)

Abstract

The paper introduces ageing models of repairable components based on Bayesian approach. Models for the development of both failure rate and the probability of failure on demand are presented. The models are based on the assumption that the failure probability or rate has random changes at certain time points. This is modelled by assuming that the successive transformed failure probabilities (or rates) follow a Gaussian random walk. The model is compared with a constant increment model, in which the possible ageing trend is monotone. Monte-Carlo Markov Chain sampling is applied in the determination of the posterior distributions. Ageing indicators based on the model parameters are introduced, and the application of these models is illustrated with case studies.
Original languageEnglish
Pages (from-to)255 - 268
Number of pages14
JournalReliability Engineering and System Safety
Volume68
Issue number3
DOIs
Publication statusPublished - 2000
MoE publication typeA1 Journal article-refereed

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Aging of materials
Markov processes
Sampling

Keywords

  • Bayesian models
  • ageing
  • repairable components
  • ageing indicators

Cite this

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Bayesian models and ageing indicators for analysing random changes in failure occurrence. / Pulkkinen, Urho (Corresponding Author); Simola, Kaisa.

In: Reliability Engineering and System Safety, Vol. 68, No. 3, 2000, p. 255 - 268.

Research output: Contribution to journalArticleScientificpeer-review

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