Journal of Shanghai Jiaotong University ›› 2013, Vol. 47 ›› Issue (05): 846-850.

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Unconventional Emergency Assessment Based on Bayesian Network
 
 

XU Lei1,LI Xiangyang1,HUANG Xiangyue2
  

  1. (1.School of Management, Harbin Institute of Technology, Harbin 150001, China;2.Academy of Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China)
  • Received:2012-10-30 Online:2013-05-28 Published:2013-05-28

Abstract:

To solve the problems in the traditional emergency assessment of unconventional emergencies, an unconventional emergency assessment method based on Bayesian network was proposed. Besides, the system efficiency was further improved by the topological optimization of Bayesian network model. Moreover, an example application to a simplified backup power transmission system of nuclear power units was presented to illustrate and test the proposed method. The results show that the proposed Bayesian network based method has valuable characteristics, such as  multiinformation expression,  fusion, and updating,  and can improve the computation efficiency, which make it wellsuited for unconventional emergency assessment.

Key words: unconventional emergency, Bayesian network, performance assessment, topological structure

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