Reliability of the system with loops: Factor graph based approach

•Factor graph based reliability analysis method is suggested.•To consider logical loop structure, modified belief propagation algorithm is suggested.•The result of factor graph based approach shows exactly same result as the analytic solution.•With suggested methodology, intuitive graph based reliab...

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Bibliographic Details
Published inReliability engineering & system safety Vol. 208; p. 107407
Main Authors Chae, Young Ho, Kim, Seung Geun, Seong, Poong Hyun
Format Journal Article
LanguageEnglish
Published Barking Elsevier Ltd 01.04.2021
Elsevier BV
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ISSN0951-8320
1879-0836
DOI10.1016/j.ress.2020.107407

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Summary:•Factor graph based reliability analysis method is suggested.•To consider logical loop structure, modified belief propagation algorithm is suggested.•The result of factor graph based approach shows exactly same result as the analytic solution.•With suggested methodology, intuitive graph based reliability analysis can be conducted even if there exist logical loop structure. Evaluating systems’ vulnerability is important in safety critical systems. For this reason, probabilistic safety assessments (PSAs) are widely conducted in the nuclear industry. To ensure efficient, and accurate reliability analyses, several reliability evaluation methods have been developed. The most familiar method is fault tree analysis. However, as the system becomes more complex, the fault tree structure becomes even more complicated. As an alternative, the graph-based reliability analysis method has been developed. However, conventional graph-based analyses have difficulty with considering a logical loop structure. Here, we suggest a factor graph and belief propagation algorithm based logical loop analysis method for intuitive logical loop consideration. To solve the problem efficiently we modified the belief propagation rules. The proposed methodology was successfully applied to 3-system-in-loop and 4-system- in-loop.
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ISSN:0951-8320
1879-0836
DOI:10.1016/j.ress.2020.107407