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Algorithms for Complex Systems Reliability Analysis Based on Bayesian Network

DC Field Value Language
dc.contributor.authorZheng, Xiaohu-
dc.contributor.authorYao, Wen-
dc.contributor.authorXu, Yingchun-
dc.contributor.authorZhao, Yong-
dc.date.accessioned2019-05-14T03:09:21Z-
dc.date.available2019-05-14T03:09:21Z-
dc.date.issued2019-05-26-
dc.identifier.citation13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019-
dc.identifier.isbn979-11-967125-0-1-
dc.identifier.otherICASP13-410-
dc.identifier.urihttps://hdl.handle.net/10371/153522-
dc.description.abstractWith the increase of complex systems functions, the number of its components will rise. This will lead to the amount of state combinations of components increasing exponentially. In order to solve this problem, a new compression algorithm and a new inference algorithm are developed to analyze the reliability of complex systems based on Bayesian Network in this paper. A satellite transmission system reliability is used to validate the proposed algorithms.-
dc.description.sponsorshipThis work was supported by the National Natural Science Foundation of China (No.51675525 and 11725211).-
dc.language.isoen-
dc.titleAlgorithms for Complex Systems Reliability Analysis Based on Bayesian Network-
dc.typeConference Paper-
dc.identifier.doi10.22725/ICASP13.410-
dc.sortNo590-
dc.citation.pages2093-2100-
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