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《Advanced Technology of Electrical Engineering and Energy》 2004-04
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RBFNN based high voltage transmission line fault diagnosis

JIANG Hui-lan~1, LIU Fei~1, YANG Wei~1, Xu Jian-qiang~2 (1. Tianjin University, Tianjin 300072, China; 2. Daqing Oil Field Management Board, Daqing 163000, China)  
On the basis of analyzing the methods of power system fault diagnosis, this paper presents RBFNN based high voltage transmission line fault diagnosis method by using radial basis function network's capability which is adaptable to solving pattern recognition problems. A RBFNN model structure used for transmission line fault diagnosis is built, and the standard of evaluating RBF optimal clustering number is proposed. By simulation analysis and test for fault tolerance of network, the results show that the method presented in this paper can accomplish correct fault diagnosis for high voltage transmission line but also has high fault tolerance performance for distorted input signal, and therefore has practical application value in real time information processing system.
【Fund】: 天津大学留学回国人员基金资助项目
【CateGory Index】: TM755
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