ISSN 1002-1027  CN 11-2952/G2

Acta scientiarum naturalium Universitatis Pekinensis

Previous Articles     Next Articles

Observator with Fuzzy Neural Networks for Monitoring the Operation-state of Transformer

CHANG Bingguo1, YAN Lei1, MAO Jietai1, LIU Junhua2   

  1. 1Institute of Physics, Peking University, Beijing, 100871; 2Institute of Electrical Engineering, Xian Jiaotong University, Xian, 710049
  • Received:2002-01-04 Online:2003-01-20 Published:2003-01-20

Abstract: An observator is combined with fuzzy set theory and neural networks for monitoring transformer operation-state. It has overcome the limitations such as the dependency on experts for fuzzy rule and no self-adaptation for fuzzy set. The self-regulation of membership functions and the self-organization of fuzzy rule are realized by the self-learning of the neural networks. This approach is proven by experiments.