Application of stochastic filtering for lifetime prediction

Eija Myötyri (Corresponding Author), Urho Pulkkinen, Kaisa Simola

Research output: Contribution to journalArticleScientificpeer-review

87 Citations (Scopus)

Abstract

This paper introduces a stochastic filtering modeling approach for predicting the remaining lifetime of a component based on information on the stochastic degradation process and uncertain condition monitoring measurements. The model is illustrated by a case study, where the degradation is assumed to be a simplified fatigue crack growth process. The model accounts for uncertainties in both degradation process and condition measurements in a sound way. If completed with information on costs of monitoring, failure and replacement, such model could be used in optimizing both the condition monitoring intervals and, e.g. the replacement time for the component.
Original languageEnglish
Pages (from-to)200-208
JournalReliability Engineering and System Safety
Volume91
Issue number2
DOIs
Publication statusPublished - 2005
MoE publication typeA1 Journal article-refereed

Keywords

  • stochastic filtering
  • lifetime
  • fatigue crack growth
  • condition monitoring

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