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An algorithm of discrete‐time Bayesian network for reliability analysis of multilevel system with warm spare gate
Author(s) -
Li Xiang,
Li YanFeng,
Li He,
Huang HongZhong
Publication year - 2021
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2784
Subject(s) - reliability (semiconductor) , spare part , bayesian network , schedule , computer science , dynamic bayesian network , reliability engineering , algorithm , bayesian probability , conditional probability , monte carlo method , table (database) , engineering , data mining , mathematics , machine learning , artificial intelligence , statistics , power (physics) , physics , quantum mechanics , operating system , mechanical engineering
Discrete‐time Bayesian network (DTBN) is a popular tool for the reliability analysis of dynamic systems, which, however, is insufficient in analyzing the reliability of multilevel system (MLS) with warm spare (WSP) gates. Additionally, conventional DTBNs are not able to consider the situation that dormant components and primary components may fail during the same time interval. To this end, this paper analyzes the dynamic reliability characteristics of dormant systems with WSP gates by utilizing DTBNs. Moreover, an algorithm of modeling the conditional probability table (CPT) for WSP gates together with a new schedule of constructing dynamic Bayesian networks is put forward. The validation of the proposed techniques is implemented by Monte Carlo simulation (MCS) and reliability analysis of an actual communication station system.