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

被引：0
|
作者：
Zhou, Long [1 ]
Wang, Xuezhi [1 ]
Chen, Mianyun [2 ]
机构：
[1] Wuhan Polytech Univ, Wuhan 430023, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Wuhan 430074, Peoples R China
来源：
DCABES 2008 PROCEEDINGS, VOLS I AND II | 2008年
关键词：
Neural network; fuzzy clustering; electrical equipment; fault diagnosis;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Combining the fuzzy sets theory and neural network to carry on the fault diagnosis 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.
引用
收藏
页码：617 / +
页数：2
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