Rolling bearing fault diagnosis based on improved wavelet threshold de-noising and HHT

Meng Zong;Li Shanshan

Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (14) : 204-208.

PDF(1959 KB)
PDF(1959 KB)
Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (14) : 204-208.
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Rolling bearing fault diagnosis based on improved wavelet threshold de-noising and HHT

  • Meng Zong , Li Shanshan
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Abstract

The vibration signal, containing strong noise, has great influence on results when HHT (Hilbert-Huang Transformation) is applied to the rolling bearing fault diagnosis. To overcome this limitation, a signal analysis method based on the improved wavelet threshold de-noising and HHT is proposed in this paper. Pretreat the rolling bearing fault signal by using the improved wavelet threshold method, and then the EMD (Empirical Mode Decomposition) is performed on the de-noising signal. To exact the fault characteristic frequency and judge fault types, the IMFs (Intrinsic Mode Functions) relating to fault information are chosen to analyze the marginal spectrum. The results of simulation and experiment are presented to verify the theory analysis.

Key words

Improved threshold de-noising / HHT / Rolling bearing / Fault diagnosis

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Meng Zong;Li Shanshan . Rolling bearing fault diagnosis based on improved wavelet threshold de-noising and HHT [J]. Journal of Vibration and Shock, 2013, 32(14): 204-208
PDF(1959 KB)

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