Equipment Fault Diagnosis based on Probabilistic Neural Networks and Simulation Analysis

Artificial neural network is a useful tool for fault diagnosis of certain complex system that can't be mathematically modeled.This paper analyzed the basic theory and algorithm of the probabilistic neural network,and established certain equipment fault classification model based on the PNN and improved BPNN,simulation showed that PNN model outperforms the improved back-propagation neural network model in classification speed,precision and generalization ability.It proves to be an efficient fault classification method.