会议专题

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

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

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)