STUDY ON THE METHOD OF INCIPIENT MOTOR BEARING FAULT DIAGNOSIS BASED ON WAVELET TRANSFORM AND EMD

Incipient fault diagnosis in bearings is the technical prerequisite for safe production and to avoiding accidents.A highly precise acceleration transducer is used to sample vibration signals in bearings.Incipient bearing fault characteristic signals obscured by noise background are extracted by using wavelet decomposition method.The extracted signals are decomposed by means of Empirical Mode Decomposition(EMD) to obtain several intrinsic mode functions(IMFs).And the frequency spectra of IMFs are calculated finally.The results of theoretical and experiments research show that the spectra of IMFs obtained by the above method reveal the characteristic information in bearings clearly,which can be used to detect incipient faults in bearings.