An artificial neural network for faultdiagnosis of instrument transformers
Yan Zi-qin · Jisuanji fangzhen · 2003
Based on both the basic structure and the count method of neural network. In this paper an artificial neural network has been built to diagnose faults in instrument transformers. An efficient network learning calculating method is used. The reliabilities of both the instrument transformer and the power system can benefit from the neural network. On the basis of the instrument transformers fault feature, a Three-layer feed-forward neural network was built and the Error Back——Propagation (EBP) learning calculating method was used to discuss.