Fault Diagnosis of Transformer Based on Radial Basis Probabilistic Neural Networks
Gao Hong-yan · Coal Mine Machinery · 2007
On the basis of analyzing RBPNN in theory,subtractive clustering is used to determine its hidden centric vector.A fault diagnosis of transformer is proposed based on RBPNN,and experimental study is carried out.The experimental result shows that it is applicable to fault diagnosis of transformer in accuracy and rapidness.