基于故障树最小割集的故障诊断方法研究

Diagnosis Approach Based on Minimal Cut Sets of Fault Trees

利用故障树分析原理 ,对基于故障树最小割集的诊断方法进行了研究。在给出故障树顶事件和底事件概率描述的基础上 ,计算了故障树最小割集的重要度 ,并在量级上进行了分析比较 ,为系统的故障源搜寻提供了具体有效的测试步骤。并给出了应用实例。

A diagnosis approach based on minimal cut sets of fault trees is studied by using the theory of fault trees. The probability description of fault tree is given and the number of important degree of the minimal cuts set is computed. Then the results are analyzed and compared, the detailed testing step of searching fault origin is presented. Finally, an application example is given.