Reliability and availability analysis of stochastic degradation systems based on bivariate Wiener processes

Qinglai Dong, Lirong Cui, Shubin Si

Research output: Contribution to journalArticlepeer-review

105 Scopus citations

Abstract

It is still a challenge to study the degradation mechanisms of complex systems with multiple performance characteristics. This paper develops a two-stage stochastic degradation model. The degeneration processes of two correlated performance characteristics are described by a correlated bivariate Wiener process in the first stage, in which neither of the degradation levels of performance characteristics reaches their thresholds. When one of the degradation levels of performance characteristics reaches its threshold, the system operates defectively in the second stage, and the system degradation process is described by the other performance characteristic which is modeled by a univariate Wiener process. The system fails completely when both the degradation levels of performance characteristics reach their thresholds. Explicit expressions of the system reliability and availabilities are given based on different inspection and maintenance policies. Simulation is also presented, and it shows that the analytical results and the simulation results are in good agreement. Finally, a detailed case study of the rail track geometry degradation is given to demonstrate the results obtained in the paper.

Original languageEnglish
Pages (from-to)414-433
Number of pages20
JournalApplied Mathematical Modelling
Volume79
DOIs
StatePublished - Mar 2020

Keywords

  • Bivariate degradation
  • Instantaneous availability
  • Periodic inspections
  • Steady-state availability
  • Wiener process

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