An Implicit Method for Incorporating Bayesian Networks into Common Cause Analysis

摘要：

Two traditional methods are often used for CCf analysis, explicit and implicit methods, both of which have shortcomings especially in handling large fault trees. In this paper, an implicit method for incorporating common cause failures (CCF) into reliability analysis based on Bayesian networks is proposed. This new method provides accurate and efficient reliability analysis by incorporating Bayesian networks (BN) into CCF analysis, which could avoid the disadvantages of traditional methods. Moreover, some additional analysis issues could be handled, such as diagnosis assessment, multi-state system with common causes.

关键词： Bayesian networks common cause failures reliability analysis diagnosis assessment multi-state system

作者: Zhongbao Zhou Jingjie Li Jingqiang Li Haitao Li Lei Xiao

作者单位: School of Business Administration, Hunan University, Changsha 410082, PR. China School of Information System & Management, National University of Defense Technology,Changsha 410073 Changchun University of Technology, Changchun 130012, P.R. China

会议类型: 国际会议

会议名称: The First World Congress on Global Optimization in Engineering & Science(第一届工程与科学全局优化国际会议 WCGO2009)

会议地点: 长沙

会议语种:英文

页码: 203-210

在线出版日期: 2009-06-01（万方平台首次上网日期，不代表论文的发表时间）