Application of BP Neural Network to Fault Diagnosis of Vibrating Sieve

According to the principle and algorithm of BP neural network,the structure of vibrating sieve can be determined.The BP neural network model for fault diagnosing is obtained by taking the characteristic variables of operating state of vibrating sieve as the input of neural network and using the Matlab neural network toolbox for the network training.The experimental result shows that the method can accurately diagnose the fault of vibrating sieve.