Application of a combined decision model based on optimal weights in incipient faults diagnosis for power transformer

Author:

Tingfang Yang1,Haifeng Liu2,Xiangjun Zeng1,Wei Qiu3,Wenbin Deng4

Affiliation:

1. School of Electrical and Information Engineering; Changsha University of Science and Technology; 141 Qingyuan Road Tianxin Qu Changsha 410114 China

2. State Grid Hunan Electric Power Corporation Research Institute; 19 Shuidian Street Changsha Hunan 410007 China

3. Zhuhai Electric Power Company; 19 Haihe Street Zhuhai Guangdong 519000 China

4. EHV Power Transmission Company; China Southern Power Grid; 116 Tianhe Street Guangzho Guangdong China

Funder

National Natural Science of China

Engineering Research Center of Power Grid Safety Monitoring & Control Technology, Ministry of Education, Changsha University of Science & Technology, P. R. China

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference24 articles.

1. A review of faults detectable by gas-in-oil analysis in transformers;Duval;IEEE Electrical Insulation Magazine,2002

2. A fuzzy ARTMAP fault classifier for impulse testing of power transformer;De;IEEE Transactions on Dielectrics and Electrical Insulation,2004

3. Cross-correlation aided wavelet network for classification of dynamic insulation failures in transformer winding during impulse testing;Rajamani;IEEE Transactions on Dielectrics and Electrical Insulation,2011

4. Dielectric spectroscopic measurements on transformer oil paper insulation under controlled laboratory conditions;Setayeshmehr;IEEE Transactions on Dielectrics and Electrical Insulation,2008

5. Partial discharge-induced degradation characteristics of oil-impregnated insulating material used in oil-immersed power transformers;Okabe;IEEE Transactions on Dielectrics and Electrical Insulation,2010

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