Neural Networks Based on Fuzzy Clustering and Its Application in Electrical Equipment's Fault Diagnosis

摘要

Combining the fuzzy sets theory and neural network to carry on the faultdiagnosis is a most prosperous diagnosis method.This article put forward a sample processing method using fuzzy clustering and studied the application of fuzzy competition classification method in extracting contradiction samples,then advanced the diagnosis method of neural network based on fuzzy clustering,finally carried on the simulation research.The calculation results show that all the above-mentioned methods are quite practical.It is a better and prosperous way to combine neural network theory and fuzzy clustering to carry on insulation diagnosis.