Reliability Evaluation of Auxiliary Feedwater System by Mapping GO-FLOW Models into Bayesian Networks
Bayesian network (BN) is a widely used formalism for representing uncertainty in probabilistic systems, and it has become a popular tool in reliability engineering. The GO-FLOW method is a success-oriented system analysis technique and capable of evaluating system reliability and risk. To overcome the limitations of GO-FLOW method and add new method for BN model development, this paper presents a novel approach on constructing a BN from GO-FLOW model. GO-FLOW model involves with several discrete time points, and some signals change at different time points. But it is a static system at one time point, which can be described with BN. Therefore, the developed BN with the proposed method in this paper is equivalent to GO-FLOW model at one time point. The equivalent BNs of the fourteen basic operators in the GO-FLOW methodology are developed. Then, the existing GO-FLOW models can be mapped into equivalent BNs on basis of the developed BNs of operators. A case of auxiliary feedwater system of a pressurized water reactor is used to illustrate the method. The results demonstrate that the GO-FLOW chart can be successfully mapped into equivalent BNs.
KeywordsReliability GO-FLOW methodology Bayesian network Auxiliary feedwater system
- 19.T. Matsuoka, M. Kobayashi. A phased mission analysis by the GO-FLOW methodology, in Proceedings of the International ANS/ENS Tropical Meeting Probability, Reliability and Safety Assessment, 1989, Pittsburgh, USAGoogle Scholar
- 26.P. Weber, G. Medina-Oliva, C. Simon, B. Iung, Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas. Reliab. Eng. Sys. Saf. 25, 671–682 (2012)Google Scholar