A comparison between Monte Carlo simulation and finite-volume scheme for reliability assessment of multi-state physics systems. (June 2018)

• Record Type: Journal Article
• Authors: Lin, Yan-Hui; Li, Yan-Fu; Zio, Enrico
• Is Part Of: Reliability engineering & system safety. Volume 174(2018)
• Page Start: 1
• Page End: 11
• Publication Date: 2018-06
• Subjects: Multi-state model -- Physics-based model -- Dependent degradation processes -- Piecewise-deterministic Markov process -- Monte Carlo simulation method -- Finite-volume scheme; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2018.01.008
• Languages: English
• ISSNs: 0951-8320

Abstract

Highlights: Dependencies among degradation processes in MSPS are modeled by PDMP. A comparative study of MC simulation and FV scheme for reliability assessment of MSPS is conducted. Two case studies regarding a real industrial system are considered. Guidelines for the selection of the two approaches are provided. Abstract: Multi-state physics systems (MSPS) modeling framework incorporates multi-state models that describes the systems degradation/maintenance process through transitions among discrete states, and physics-based models that describe the degradation process within the states by using physics knowledge and equations. In previous works, piecewise-deterministic Markov process (PDMP) has been adopted to treat the system dynamics and the degradation dependence in MSPS. For reliability assessment, Monte Carlo simulation and finite-volume method are two widely used numerical approaches to solve PDMP. In the present work, a comparative study considering different evaluation criteria of the two approaches is conducted on two representative case studies. We provide clear guidelines for the selection of the two approaches.