Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability

Multi-state components, common cause failures (CCFs) and data uncertainty are the general problems for reliability analysis of complex engineering systems. In this paper, a method incorporating fuzzy probability and Bayesian network (BN) into multi-state systems (MSSs) with CCFs is proposed. In part...

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Vydané v:	Annals of operations research Ročník 311; číslo 1; s. 195 - 209
Hlavní autori:	Li, Yan-Feng, Huang, Hong-Zhong, Mi, Jinhua, Peng, Weiwen, Han, Xiaomeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.04.2022 Springer Springer Nature B.V
Predmet:	Bayesian analysis Boring machines Business and Management Combinatorics Common cause failures Complex systems Engineering Failure Fault diagnosis Feasibility studies Feed systems Fuzzy algorithms Fuzzy logic Fuzzy sets Fuzzy systems Mathematical models Methods Numerical controls Operations research Operations Research/Decision Theory Probability Quantitative analysis Random variables Reliability (Engineering) Reliability analysis S.I.: Reliability Modeling with Applications Based on Big Data Set theory System reliability Theory of Computation Uncertainty China Reliability analysis Fuzzy probability Common cause failures Multi-state systems Bayesian network
ISSN:	0254-5330, 1572-9338
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