Three-loop Monte Carlo simulation approach to Multi-State Physics Modeling for system reliability assessment

Wei Wang, Francesco Di Maio and Enrico Zio

Reliability Engineering and System Safety, 2017, vol. 167, issue C, 276-289

Abstract: Multi-State Physics Modeling (MSPM) provides a physics-based semi-Markov modeling framework for a more detailed reliability assessment. In this work, a three-loop Monte Carlo (MC) simulation scheme is proposed to operationalize the MSPM approach, quantifying and controlling the uncertainty affecting the system reliability model. The proposed MC simulation scheme involves three steps: (i) the identification of the system components that deserve MSPM, (ii) the quantification of the uncertainties in the MSPM component models and their propagation onto the system-level model, and (iii) the selection of the most suitable modeling alternative that balances the computational demand for the system model solution and the robustness of the system reliability estimates.

Keywords: Multi-State Physics Modeling; Reliability assessment; Three-loop Monte Carlo simulation; Reactor protection system; Resistance temperature detector (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832016301041
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:167:y:2017:i:c:p:276-289

DOI: 10.1016/j.ress.2017.06.003

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().