Research on fault diagnosis method based on Modified Elman Neural Network

This paper presents fault diagnosis method in aluminum electrolysis based on Modified Elman Neural Network. According to the mechanism of fault occurring in aluminum electrolysis, time and type of fault is determined by neural network. Simulation results show that the fault diagnosis method based on Modified Elman Neural Network can predict fault during aluminum electrolysis rapidly and accurately. And it has a certain value in engineering applications.