Electric Power Grid Fault Diagnosis Based on Rough Radial Basis Function Neural Network

Abstract

On the basis of attribute reduction method, a new model of Electric Power Grid is established which combines rough set and rough radial basis. Through the analysis of simulation experiments of Electric Power Grid fault diagnosis, it shows that the model reduces subjective factors of recognition, simplifies the network structure and improves recognition effect. It has strong classification ability, strong fault tolerance and explanatory, its application prospect is very broad.