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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Shrnutí: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 particular, basic theories of multi-state BN and fuzzy probability are developed. Moreover, a model integrating CCFs with BN has also been illustrated. In order to incorporate fuzzy probability into MSSs reliability evaluation considering common parent node generated by CCFs, fuzzy probability has to be translated into accurate probability through defuzzification and normalization methods which are both elaborated. In addition, quantitative analysis based on BN is carried out. In this paper, feed system of boring spindle in computer numerical control machine is analyzed as an example to validate the feasibility of the proposed method. It can improve the ability of BN on reliability evaluation of complex system with uncertainty issues.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-019-03247-6