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Fatigue spalling is one of the main reasons for rolling element bearing fault. When spalling fault occurs in the bearing raceway and the rolling balls are in and outside the stripping, the vibration signal changes. When rolling elements enters the fault zone, a step response is generated, which mainly consists of lower frequency components. When rolling elements exits the fault zone, an impulse response is generated with a wide bandwidth. To effectively separate these two types of signal characteristics is important to measure the length of peeling zone for ceramic ball bearing. In our research, we proposed a method of double-shock feature extraction for peeling failure of hybrid ceramic ball bearing based on double tree complex wavelet packet transform (DTCWPT). Firstly, in order to enhance the Signal Noise Ratio (SNR), the original vibration signal was denoised by double tree complex wavelet packet transform; Then, separating and extracting double impulse characteristics of the vibration signal from the hybrid ceramic ball bearing with the spalling failure by using Hilbert transform envelope algorithm. Experimental results showed that this method can effectively separate the double impulse characteristics of the hybrid ceramic ball bearing fault.

Double-impulse feature extraction of faulty hybrid ceramic ball bearings based on DTCWPT