摘要
结合故障树在故障诊断中的应用，运用Ｂａｙｅｓ方法，提出了一个面向故障树诊断问题的证据推理算法。此算法能实时、动态地根据征兆信息（即证据）更新树中各事件发生的概率，且计算量小，可应用于基于故障树的实时故障诊断系统。
Although the application of the fault tree(FT)in the fault diagnosis of sophisticatedsystems is successful,so far no satisfactory management algorithm for the uncertain knowl-edge oriented fauIt tree structure has been reported. Some cases of the application of thefault tree in fault diagnosis are reviewed and an FT-based evidential reasoning algorithm withthe Bayes method is proposed,which is capable of updating and managing the probabilities ofevents in FT according to evidences and with less computing time,It is applicable to realtime fauIt diagnosis expert systerns.
出处
《华中理工大学学报》
CSCD
北大核心
1995年第2期27-29,共3页
Journal of Huazhong University of Science and Technology
基金
国家"863"高科技CIMS跟踪资助课题
关键词
故障树
不精确知识
故障诊断
专家系统
fault tree
uncertain knowledge
reasoning
fault diagnosis
probability
