The Application of Distributed Neural Network Fault Diagnosis Technique in Process Control

The fault in the process of aluminium electrolysis happens frequently. The anode effect wastes lots of electric energy, and it reduces the output and quality of aluminium and makes large economic waste. This paper adopts neural network fault diagnosis technique and distributed neural network to carry out fault diagnosis of two rank. This paper also applies decision fusion neural network to fault consultation that can test single fault and also diagnose more than two compound faults .This method greatly enhances the accuracy rate and efficiency of diagnosis