According to limitation of traditional vibration signal analysis in fault diagnosis of rotating machinery, an approach to wavelet packet and envelope analysis based on full vector spectrum technology was proposed. Firstly, vibration signals from two different directions were respectively decomposed by wavelet packet transform, and recomposed the abstracted signals. Then, the recomposed signals were processed via envelope demodulation using the full vector Hilbert transform. Compared to the new method, fault diagnosis method based on single source data is imperfect. The new approach is more effective than others because its inheritance and all-sided feature. Finally, data fusion of simulated vibration signals is considered as evidences for the validity of the new technique. Furthermore, results from the gearbox vibration signal analysis show that the proposed method is effective in diagnosing the gear fault.
GONG Xiao-yun;HAN Jie;CHEN Hong;LEI Wen-ping.
Application of wavelet packet and envelope analysis based on full vector spectrum in gear fault diagnosis[J]. Journal of Vibration and Shock, 2012, 31(12): 92-95
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