Neural Networks Based on Fuzzy Clustering and Its Application in Electrical Equipments Fault Diagnosis
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.
Neural network fuzzy clustering electrical equipment fault diagnosis
Long Zhou Xuezhi Wang Mianyun Chen
Wuhan Polytechnic University,Wuhan,430023,P.R.China Huazhong University of Science and Technology,Wuhan,430074,P.R.China
国际会议
大连
英文
617-620
2008-07-27(万方平台首次上网日期,不代表论文的发表时间)