Study on Fault Diagnosis of Power Transformer Based on RSNN

被引：0
|
作者：
Lv Hong-li [1 ]
机构：
[1] Tangshan Coll, Dept Informat Engn, Tangshan, Peoples R China
来源：
PROCEEDINGS 2013 INTERNATIONAL CONFERENCE ON MECHATRONIC SCIENCES, ELECTRIC ENGINEERING AND COMPUTER (MEC) | 2013年
关键词：
fault diagnosis; neural network; rough set; power transformer;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper studies the power transformer fault quality diagnosis using the technology of intelligent diagnosis. It is rough set theory as the pre-unit of neural network. A large number of original data is made reduction by means of rough set algorithm and become the train data of BP neural network. Through simulation with practical data it is proved that the method of RSNN can make the training time shorter and the diagnostic accuracy is higher compared with the traditional neural network method.
引用
收藏
页码：344 / 347
页数：4
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