Research on Fan Machinery Fault Diagnosis System Based on Fusional Neural Network

Fusional neural network which is founded on information fusion and artificial neural network is proposed in this paper. With this novel algorithm, the fan machinery fault diagnosis system model is built. Meanwhile, the output diagnosis values are loaded into the sample library of the neural network to form the self adapting system. It is proved that the accuracy of the fault diagnosis conclusion can be improved by using fusional neural network.