文献类型：期刊文献

英文题名：Improving fault tree analysis with Bayesian networks on reliability modeling

作者：Yang, Dong-Peng[1]; Li, Jin-Lin[1]; Zhou, Chao[2]

机构：[1] School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China; [2] Department of Commercial Management, China Institute of Industrial Relations, Beijing 100081, China

年份：2008

卷号：17

期号：SUPPL.

起止页码：162

外文期刊名：Journal of Beijing Institute of Technology (English Edition)

收录：EI(收录号：20090711906764)、SCOPUS(收录号：2-s2.0-59549091460)

语种：英文

外文关键词：Bayesian networks - Knowledge based systems - Models - Reliability analysis - Risk assessment

外文摘要：In this paper we focus our attention on the solution of practical risk evaluation reliability issues with a feasible combination of two methods, fault tree analysis (FTA) and Bayesian networks (BNs). FTA is a popular tool for modeling reliability problems, but owing to its finite probabilistic ability, the modern trend of research has given rise to the more flexible modeling. Quantitative analysis is more emphasized, and the disadvantages of FTA by translating FT to BNs are conquered, the translating rules mapped and the modeling process is discussed in the end. This paper explained the modeling process in detail with real data from a practical case. The calculation results greatly improved the performance of FT and showed significant advantages over the traditional methods.