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

fYear

2013

Firstpage

22

Lastpage

25

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Superconductivity and Electromagnetic Devices (ASEMD), 2013 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4799-0068-8

Type

conf

DOI

10.1109/ASEMD.2013.6780699

Filename

6780699