Research of the Fga-Ann method for transformer fault diagnosis based on the dissolved gas analysis

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 6, Issue , 2004, Pages 5145-5149

  Song, Bin ^a   Peng, Zhenghong ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Artificial neural networks; Fault diagnosis; Fuzzy genetic algorithm; Power transformer

Indexed keywords

DISSOLVED GAS ANALYSIS; FAULT DIAGNOSIS; FUZZY GENETIC ALGORITHM; POWER TRANSFORMER;

ELECTRIC TRANSFORMERS; FUZZY CONTROL; GENETIC ALGORITHMS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; RESEARCH;

ELECTRIC FAULT LOCATION;

EID: 4444351443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. J.S. Fan, Q. Tao, T. J. Fang. Genetic Algorithm Optimize Neural Net Work Based on structural Risk Minimization. Proceedings of the 3rd World Congress on Intelligent Control and Automation, June 28-July 2,2000: 948-952.
2. M. Srinivas, L.M. Patnail. Adaptive Probabilities of Crossover and Mutation In Genetic Algorithms, IEEE Tran. On Systems, Man And Cybernetics, Vol.24, No.4, 1994(4): 656-667.