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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。
Combining with the application of fault tree in fault diagnosis, a Bayes approach is proposed to propose an evidence inference algorithm for fault diagnosis. This algorithm can update the probability of each event in the tree according to the symptom information (ie, evidence) in real time and dynamically, and it can be applied to real-time fault diagnosis system based on fault tree.