Research on envelope analysis for bearings fault detection

In order to overcome the shortcomings in the traditional envelope analysis, the methods based on the wavelet transform and morphological filters are introduced for detecting defects in rolling element bearings. The method based on the analytic wavelet can be applied to non-linear and non-stationary bearing vibration signals. The method based on the morphological filters has the advantage of less computation, and it can be used for on-line diagnosis. The results show that the proposed methods can diagnose the faults in rolling element bearings.