A New Method of Fault Diagnosis Based on Attibute Sighificance of Multi-field Experts Database
基于专家知识库属性重要度的故障诊断方法研究

Based on attribute signifieance of rough set and integrated technology of experts database, a new method of fault diagnosis to comlex systems is researched. First of all, the attribute significance model of experts database is presented by combing integrated system of multi-field experts and assignment rule of fault state with attribute significance concept in rough set theory. Secondly, a network model based on multi-field experts database is constructed, which can be used to monitor the dynamic systems in real-time and diagnosis fault. Finally, a simulated example has shown that the technique is effectively and exactly. The presented method has used in the fault diagnosis of complex systems and good results have been achieved, and the theoretical analysis indicats that the presented algorithm has a broad prospect for practical application.