Reliability analysis of nuclear safety-class DCS based on T-S fuzzy fault tree and Bayesian network

The safety-class (1E) digital control system (DCS) of nuclear power plant characterized structural multiple redundancies, therefore, it is important to quantitatively evaluate the reliability of DCS in different degree of backup loss. In this paper, a reliability evaluation model based on T-S fuzzy...

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Bibliographic Details
Published in:Nuclear engineering and technology 2023, Vol.55 (5), p.1901-1910
Main Authors: Xu Zhang, Zhiguang Deng, Yifan Jian, Qichang Huang, Hao Peng, Quan Ma
Format: Article
Language:Korean
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Summary:The safety-class (1E) digital control system (DCS) of nuclear power plant characterized structural multiple redundancies, therefore, it is important to quantitatively evaluate the reliability of DCS in different degree of backup loss. In this paper, a reliability evaluation model based on T-S fuzzy fault tree (FT) is proposed for 1E DCS of nuclear power plant, in which the connection relationship between components is described by T-S fuzzy gates. Specifically, an output rejection control system is chosen as an example, based on the T-S fuzzy FT model, the key indicators such as probabilistic importance are calculated, and for a further discussion, the T-S fuzzy FT model is transformed into Bayesian Network(BN) equivalently, and the fault diagnosis based on probabilistic analysis is accomplished. Combined with the analysis of actual objects, the effectiveness of proposed method is proved.
ISSN:1738-5733
2234-358X