Fault diagnosis of transformer insulation based on compensated fuzzy neural network

Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Annual Report

Volumn , Issue , 2003, Pages 273-276

  Hu, Wen Ping ^a   Yin, X G ^a   Zhang, Z ^a   Chen, D S ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC EQUIPMENT; ELECTRIC INSULATION; FORMAL LOGIC; NEURAL NETWORKS; SEMANTICS;

TOTAL COMBUSTIBLE GAS (TCG);

ELECTRIC TRANSFORMERS;

EID: 0242592103     PISSN: 00849162     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. ZH.Huiyuan, D.Yang, S.Lin. New Method Based on Fuzzy Neural Networks for Transformer Fault Diagnosis [J]. Journal of North China Electric Power University. Vol.25 No.2 1998:6-11.
2. L. Ying, Q. Weiwei. Fuzzy logic based devel oprnent of insulation monitoring of electric equipment and fault diagnosis system [J]. Power System Technology Vol. 23 No. 12. 1999: 43-46
3. W. Xin, ZH. Lu. Application design of neural network for MATLAB [M]. The Scientific Publishing Company, Beijing: 2000.
4. Q. su, C. Mi, L.L. Lai. A fuzzy dissolved gas analysis method for the diagnosis of multiple incipient faults in a transformer-abstract [J]. Power Engineering Review, Jan 2000.
5. G. Jielin, X. guoyu. The application of fuzzy neural networks for power transformer fault diagnosis[J]. Journal of ChongQing University. Vol.20, No.6, 1997:73-76
6. ZH. Mingliu, S. Caixin. Study on fault diagnosis of transformer DGA method with fuzzy multi-criteria analysis [J]. Transactions of China Electrotechnical Society Vol. 13 No. 1 1998:51-54