Research on Fan Machinery Intelligence Fault Diagnosis System of Datum-Fusional Neural Network

This paper uses information fusion and neural net technology as theoretical basis for building a fused neural network model and a neural network fault diagnosis for a fan. In the model, the homogeneous information is fused by the most closest clustering algorithm and the multi-source information is composed by the artificial neural network technology. And then the fused results are used as an input source for neural network diagnosis. In such a way, the intelligent diagnosis is realized and the effect is good.