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《Acta Scicentiarum Naturalum Universitis Pekinesis》 2003-01
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Observator with Fuzzy Neural Networks for Monitoring the Operation-state of Transformer

CHANG Bingguo 1) YAN Lei 1) MAO Jietai 1) LIU Junhua 2) ( 1)Institute of Physics,Peking University,Beijing,100871; 2)Institute of Electrical Engineering,Xian Jiaotong University,Xian,710049)  
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.
【CateGory Index】: TM407
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【References】
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2 Sun Heyi, Pu Zhaobang, Nie Peng (Harbin Institute of Technology, Harbin 150001, China);A NEW INTERFERENCE REDUCTION METHOD IN DIELECTRIC LOSS TANGENT S ON-LINE MONITORING FOR CAPACITIVE EQUIPMENT[J];Automation of Electric Power Systems;2004-03
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