Title :
Application of Grey Relational Theory in Transformer Fault Diagnosis
Author :
Chang, Wenping ; Zhao, Bin ; Li, Jihao
Author_Institution :
Dept. of Electr. Eng., Henan Mech. & Electr. Eng. Coll., Xinxiang, China
Abstract :
Based on the dissolved gases analysis and grey relational theory, a fault diagnosis method for transformers is proposed. Fault diagnosis in transformers has several parameters such as the severity of fault and the kind of fault, a lot of typical fault samples are divided into several sets according to the fault type. The practical data are analyzed using grey relational analysis. The experiment showed that the proposed approach is available for the transformer fault diagnosis and has fault classified ability.
Keywords :
fault diagnosis; grey systems; power transformers; dissolved gases analysis; fault diagnosis method; grey relational theory; power transformer; transformer fault diagnosis; Discharges; Fault diagnosis; Oil insulation; Power transformer insulation; Temperature distribution;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5748342