Abstract：In the characteristics extraction of the rotating machine with Hilbert-Huang transform, the vibration signals from the sensors mounted on the machine are generally suffered by the disturbance from different types of noise.The neglect of the noise generally causes worse effect of analysis. In order to overcome this deficiency,by means of combining with the blind source separation,a new algorithm,which is named Hilbert-Huang transform based on the fast independent component analysis,is proposed to resolve the mode fission.The simulation and case analysis show that the proposed method is very effective to waken the phenomenon, and to extract the characteristic frequency of the signal,further to realize the fault diagnosis of rotating machinery.
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2013, Vol. 34 
