Research on Fault Diagnosis of Main Power System Based on MNN
Yang Guan · Journal of Yancheng Institute of Technology · 2014
Artificial neural network( ANN) has been successfully applied to fault diagnosis systems in real-world applications;however,what is mostly used for diagnosing faults is single network. Factually multiple faults occur frequently at different levels in complicated systems and when the single network is used to deal with complicated problems of fault diagnosis,it'll be so gigantic that a series of difficulties will be brought to network training. In this paper,on the basis of analysis of hierarchical classified diagnostic model,MNN is presented to research on fault diagnosis of main power equipment and the diagnostic result indicates that the model is feasible and valid.