Online monitoring and fault diagnosis system of Power Transformer

被引：0

作者：

Li Weixuan ^{[1
]}

Xia Zixiang ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan, Peoples R China

来源：

2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2010年

关键词：

expert system; neural network; fault diagnosis; wireless communication;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper, a novel transformer monitoring system is presented. This system combines expert system and neural network system, which improves the accuracy of fault diagnosis, monitor the trends of the condition of power transformer, timely detect transformer failure, avoid power outages accidents, and improve supply reliability. A wireless communication method to transmit the signal collected from transformer was designed to overcome the limitations of cable transmission, because of the difficult for cabling in the remote areas.

引用

页数：4