Acta scientiarum naturalium Universitatis Pekinensis
CHANG Bingguo1, YAN Lei1, MAO Jietai1, LIU Junhua2
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.
CHANG Bingguo,YAN Lei,MAO Jietai,LIU Junhua. Observator with Fuzzy Neural Networks for Monitoring the Operation-state of Transformer[J].Acta scientiarum naturalium Universitatis Pekinensis, 2003, 39(1): 35-39.
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