Title :
Online monitoring and fault diagnosis system of Power Transformer
Author :
Li Weixuan ; Xia Zixiang
Author_Institution :
Sch. of Mech. & Electr. Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
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.
Keywords :
fault diagnosis; power system analysis computing; power system measurement; power transformers; cable transmission; fault diagnosis system; neural network system; online monitoring; power transformer; transformer monitoring system; wireless communication method; Accidents; Communication cables; Condition monitoring; Diagnostic expert systems; Fault detection; Fault diagnosis; Neural networks; Power system reliability; Power transformers; Remote monitoring;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5448936
