The study of transformer failure diagnose expert system based on rough set theory
Xinjian Xiang, Shan Jianfen, Felix Fuchs · International Power Electronics and Motion Control Conference · 2004
On the basis of the traditional diagnose expert system of transformer failure, hereby we introduce a theory to solve the bottleneck problem of what expert system can hardly obtain complete knowledge. By the decision table formed by recorded failure data, the system uses RS theory to simplify and set up the knowledge model of expert system. The trustiness of the diagnose rule is expressed by counting the rough degree of inferring rule, inferring machine and failure data is used to realize the dynamic protection of knowledge storage.