Reliability Evaluation of Auxiliary Feedwater System by Mapping GO-FLOW Models into Bayesian Networks

  • Baoping CaiEmail author
  • Yonghong Liu
  • Zengkai Liu
  • Yuanjiang Chang
  • Lei Jiang


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.


Reliability GO-FLOW methodology Bayesian network Auxiliary feedwater system 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Baoping Cai
    • 1
    Email author
  • Yonghong Liu
    • 1
  • Zengkai Liu
    • 1
  • Yuanjiang Chang
    • 1
  • Lei Jiang
    • 2
  1. 1.China University of PetroleumQingdaoChina
  2. 2.Southwest Jiaotong UniversityChengduChina

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