Research on fault diagnosis method for transformer based on fuzzy genetic algorithm and artificial neural network

Kybernetes

Volumn 39, Issue 8, 2010, Pages 1235-1244

  Peng, Zhenghong ^a   Song, Bin ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Cybernetics; Fuzzy control; Gases; Lubricating oils; Neural nets; Transformers

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; COMPUTER AIDED DIAGNOSIS; CYBERNETICS; ELECTRIC TRANSFORMERS; FAILURE ANALYSIS; FUZZY CONTROL; FUZZY INFERENCE; GASES; GENETIC ALGORITHMS; LUBRICATING OILS; NEURAL NETWORKS; OIL FILLED TRANSFORMERS; POWER TRANSFORMERS;

BACKPROPAGATION NETWORK; DESIGN/METHODOLOGY/APPROACH; DISSOLVED GAS ANALYSES (DGA); FAULT DIAGNOSIS METHOD; FUZZY - GENETIC ALGORITHMS; GREY RELATIONAL ANALYSES (GRA); INTERNATIONAL ELECTRO-TECHNICAL COMMISSIONS; POWER TRANSFORMER FAULT DIAGNOSIS;

FAULT DETECTION;

EID: 77956166873     PISSN: 0368492X     EISSN: None     Source Type: Journal    
DOI: 10.1108/03684921011063510     Document Type: Article

References (10)

1. Chen, H. (2005), "Fault tolerant control for switched reluctance motor drive based on fuzzy logic" in Advances in Systems Science and Applications, Vol. 5, No. 2, pp. 219-24.
2. Fan, J.S., Tao, Q. and Fang, T.J. (2000), "Genetic algorithm optimize neural network based on structural risk minimization" in Proceedings of the 3rd World Congress on Intelligent Control and Automation, Hefei, China, 28 June-2 July, pp. 948-52.
3. Gao, W.S., Yan, Z. and Tan, K.X. (2000), "Fault diagnosis of insulation in power transformer based on dissolved gas analysis method" in Advanced Technology of Electrical Engineering and Energy, Vol. 19, No. 1, pp. 22-6.
4. Li, Q., Gao, C., Hu, Y. and Li, D. (2007), "A data mending algorithm based on neural network optimized by genetic-simulated annealing hybrid algorithm" in Advances in Systems Science and Applications, Vol. 7, No. 1, pp. 132-6.
5. Lin, Y. and Liu, S.F. (2006), "Solving problems with incomplete information: a grey systems approach" in Advances in Imaging and Electron Physics, Vol. 141, pp. 77-174.
6. Liu, K.D., Lin, Y. and Gao, L.G. (2001), "Informational uncertainties and their mathematical expressions" in Kybernetes: The International Journal of Systems & Cybernetics, Vol. 30, No. 4, pp. 378-96.
7. Liu, K.D., Lin, Y. and Gao, L.G. (2002), "Unascertained rationals and subjective uncertain information" in Systems Analysis Modelling Simulation, Vol. 42, pp. 343-58.
8. Liu, S.F., Guo, T.B. and Dang, Y.G. (1999), Grey Systems Theory and Its Application, Science Press, Beijing.
9. Qian, Z., Yang, L. and Yan, Z. (1999), "Selection of typical samples in combinatorial neural network" in High Voltage Engineering, Vol. 25, No. 4, pp. 1-6.
10. Sun, G.X., Dai, C.J. and Dai, G.L. (1996), "The dependence of generalization of network on training set" in Nuclear Electronics & Detection Technology, Vol. 16, No. 6, pp. 401-4.