Study on Fan Fault Diagnosis Based on Hilbert-Huang Transform and Artificial Neural Network
JI Guo-yi · Power Equipment · 2012
Hilbert-Huang transform is applied to fan vibration signal and a marginal spectrum is obtained.Eigenvector of vibration signal of wind turbines is constructed by taking energy ratio of fault bands in the marginal spectrum as elements.Faults such as wind turbine rotor misalignment and axis cracks are diagnosed by momentum method and BP neural network model improved by adaptive learning rate method.The results prove this fault diagnosis method to be effective.