Stochastic modeling of deterioration processes through dynamic bayesian networks

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Abstract

A generic framework for stochastic modeling of deterioration processes is proposed, based on dynamic Bayesian networks. The framework facilitates computationally efficient and robust reliability analysis and, in particular, Bayesian updating of the model with measurements, monitoring, and inspection results. These properties make it ideally suited for near-real time applications in asset integrity management and deterioration control. The framework is demonstrated and investigated through two applications to probabilistic modeling of fatigue crack growth.

Original languageEnglish
Pages (from-to)1089-1099
Number of pages11
JournalJournal of Engineering Mechanics
Volume135
Issue number10
DOIs
StatePublished - 2009

Keywords

  • Bayesian analysis
  • Cracking
  • Deterioration
  • Fatigue
  • Inspection
  • Markov process
  • Monitoring
  • Stochastic processes

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