Reliability analysis of dynamic fault trees with Priority-AND gates using conditional binary decision diagrams

IF 9.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
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引用次数: 0

Abstract

The conditional binary decision diagram (CBDD) is an extension of the BDD by introducing the conditioning event node, which has been applied to analyze the reliability of the dynamic fault tree (DFT). However, the previous CBDD-based method is limited to the DFT with spare gates since the Boolean conditioning event only describes the replacement state in spare gates. Hence, it cannot be available for the DFT with Priority-AND (PAND) gates. To address this issue, a novel Boolean conditioning event is proposed to describe the sequence-dependence failure in the dynamic system modeled by the DFT with PAND gates. A DFT with complex PAND gates can be converted into a conditional fault tree (CFT) by recursively applying derived rules that are based on the proposed conditioning event. As a result, the minimal cut set replaces the minimal cut sequence for qualitative analysis, which can reduce the average space complexity in a general case. Then, the CBDD can be generated based on the CFT and it can be used for evaluation. Finally, case studies demonstrate an extension of the cold spare gate and the advantages of our method.

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来源期刊
Reliability Engineering & System Safety
Reliability Engineering & System Safety 管理科学-工程:工业
CiteScore
15.20
自引率
39.50%
发文量
621
审稿时长
67 days
期刊介绍: Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.
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