2017
DOI: 10.1016/j.ress.2017.06.003
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: Multi-State Physics Modeling (MSPM) provides a physics-based semiMarkov 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 compone… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
11
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 28 publications
(11 citation statements)
references
References 43 publications
0
11
0
Order By: Relevance
“…To assess multistate systems reliability, many approaches, including the Monte Carlo method, universal generating function approach, semi-Markov model, etc., have been proposed up to now (Jung and Cho, 1991;Tomasevicz and Asgarpoor, 2009;Veeramany, 2012;Wang et al, 2017). These approaches are introduced to describe the random behavior of systems and the degradation/repair of the components.…”
Section: Introductionmentioning
confidence: 99%
“…To assess multistate systems reliability, many approaches, including the Monte Carlo method, universal generating function approach, semi-Markov model, etc., have been proposed up to now (Jung and Cho, 1991;Tomasevicz and Asgarpoor, 2009;Veeramany, 2012;Wang et al, 2017). These approaches are introduced to describe the random behavior of systems and the degradation/repair of the components.…”
Section: Introductionmentioning
confidence: 99%
“…Stochastic processes [13], [14], extended decision diagrambased methods [15]- [17] and the universal generating functions V. Samavatian is with the School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran and the Univ. Grenoble Alpes, CNRS, Grenoble INP (Institute of Engineering Univ.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, Monte Carlo (MC) simulation allows considering the interactions among the physical parameters of the process (e.g., temperature, pressure, flow rate, etc. ), human actions, components stochastic failures, and malicious activities (Zio, 2013;Wang et al, 2017b). Attacks aiming at damaging different components of the CPSs can, thus, be explored, generating different scenarios in the physical domain which lead to different consequences (e.g., magnitude of failure).…”
Section: Introductionmentioning
confidence: 99%