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 mul-tiple 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.(c) 2023 Korean Nuclear Society, Published by Elsevier Korea LLC. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Automated summary

This study proposes a reliability evaluation model based on a T-S fuzzy fault tree for the safety-class (1E) digital control system of a nuclear power plant. The connection relationship between components is described using T-S fuzzy gates, and key indicators are calculated for fault diagnosis. The effectiveness of the proposed method is demonstrated through analysis of actual objects.