Research for Transformer Fault Daignosis and MATLAB Simulation Based on RBF Neural Networks
Wu Hong · Science Technology and Engineering · 2010
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.