Title :
Application of sensor technique in transformer fault diagnosis
Author :
He Xing Wang ; Qi Ping Yang ; Hao Zhang ; Lu Yang Wang ; Xiao Guang Zhang
Author_Institution :
Sch. of Electr. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
Abstract :
This paper introduces the advanced sensor technique and ANN. It describes application of the sensors in transformer fault diagnosis in detail. Further, the transformer fault diagnosis artificial neural network (TFDANN) is developed. The feasibility and effectiveness of TFDANN are explained by some examples for transformer fault diagnosis.
Keywords :
condition monitoring; fault diagnosis; fault tolerant computing; maintenance engineering; neural nets; power engineering computing; power transformers; sensors; TFDANN; advanced sensor technique; condition maintenance; online monitoring; transformer economic performance; transformer fault diagnosis artificial neural network; transformer safe operation; Acoustics; Monitoring; Oil insulation; Partial discharges; Power transformer insulation; Temperature sensors; ANN; condition maintenance; online monitoring; sensor technique; transformer fault diagnosis;
Conference_Titel :
Applied Superconductivity and Electromagnetic Devices (ASEMD), 2013 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-0068-8
DOI :
10.1109/ASEMD.2013.6780699
