基于模糊推理的SDG故障诊断新方法

针对纯定性的SDG推理方法忽略了SDG图中节点之间的影响程度不同导致诊断分辨率不高这一问题，提出了在纯定性SDG推理的基础上用模糊矩阵的形式加入节点间相互影响关系的定量信息的推理新方法，可对多潜在故障源划分优先级，从而提高SDG故障诊断的分辨率。相对于其他模糊SDG故障诊断方法，本方法勿需使用隶属函数，取而代之的是模糊矩阵，后者的获取易于前者，且采用矩阵的表示方法方便了计算机编程的实现。

New SDG fault diagnosis method based on fuzzy reasoning

The fault diagnosis method based on qualitative SDG deep knowledge model has better completeness, but lower resolution. Because it ignores the fact that the effect is different between different nodes in a SDG graph. To solve this problem, a new method which added the qualitative information of the effect between nodes into the qualitative SDG reasoning by fuzzy matrix was proposed, according to which the priority could be given to the multi-potential fault origin and the resolution could be improved. Different from other fuzzy SDG fault diagnosis methods, this method used the fuzzy matrix instead of membership function, because fuzzy matrix can be got easier than membership function and it can make the computer programming easier.