Earticle

초록

영어

T Bayesian network methodology taking place of fault tree analysis used for reliability assessment has gotten lots of attention in recent years. On basis of the current Bayesian network method used for calculating structural importance degree, a new Bayesian network method is raised. This new method can avoid repeat modification of the parameters in the conditional probability tables, and hence the intermediate results computed during inference process can be shared to decrease calculating complexity. The new method is proved to be correct in a mathematic way and a corresponding algorithm named SID_Jointree for realizing this new method is designed, which guarantees the new method can be realized in computer. Finally, the correctness and efficiency of the new method is validated by using two fault tree cases.

목차

Abstract
 1. Introduction
 2. Bayesian Network
  2.1. Definition of Bayesian Network
  2.2. Inference in Bayesian Networks
  2.3. Mapping Fault Trees into Bayesian Networks
 3. Methods for Solving Structural Importance Degree
  3.1. FTA Method
  3.2. Bayesian Network Method
 4. Case Studies
  4.1. A Simple Fault Tree
  4.2. A Fault Tree for a Power Distribution System
 5. Conclusions
 References

키워드

저자

• Wang Yao [ School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710072 PR China) ]
• Sun Qin [ School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710072 PR China) ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605