Fault diagnosis of rolling rearing based on the wavelet analysis

A time-frequency analysis technique, combined with kurtosis method and wavelet analysis, was present for the detection and diagnosis of the faults based on the unstable vibration signals from the rolling bearings. With this method, the signals were decomposed and reconstructed by the wavelet analysis, followed by the analysis of demodulation and spectral refining by using Hilbert transformation. The experiment results show that the fault information of the rolling bearings can be detected and diagnosed effectively, which favor the quick determination of the detailed faulty type within the bearings.