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

被引：0
|
作者：
Li, Xiao-quan [1 ]
Ke, Yan [1 ]
Chen, Geng [1 ]
机构：
[1] Air Force Engn Univ, Air & Missile Def Coll, Xian 710051, Shaanxi, Peoples R China
来源：
2ND INTERNATIONAL CONFERENCE ON APPLIED MECHANICS, ELECTRONICS AND MECHATRONICS ENGINEERING (AMEME) | 2017年
关键词：
Electric power grid; Fault diagnosis; RS; RBF; RBFNN;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：46 / 51
页数：6
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