Abstract: A diagnosis technology adopting Radial-Basis Function neural networks is introduced to improve the diagnosis efficiency. The structure and fundamental of RBF neural network are analyzed, a three-layer RBF neural network is designed. It is proved by MATLAB experiment that RBF neural network is a strong classifier which is used to diagnose transformer fault effectively.
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吴宏岐,周妮娜,王春英. 基于RBF神经网络的变压器故障诊断及MATLAB仿真研究[J]. 科学技术与工程, 2010, (5): . Wu hong qi, ZHOU Ni-Na…,WANG Chun-Ying. Research for Transformer Fault Daignosis and MATLAB Simulation based on RBF Neural Networks[J]. Science Technology and Engineering,2010,(5).
