Bearings fault diagnosis based on two-dimensional complementary stochastic resonance

LU Si-liang1 SU Yun-sheng 1 ZHAO Ji-wen 1 HE Qing-bo 2 LIU Fang1 LIU Yong-bin1

Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (4) : 7-12.

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PDF(1726 KB)
Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (4) : 7-12.

Bearings fault diagnosis based on two-dimensional complementary stochastic resonance

  • LU Si-liang1  SU Yun-sheng 1  ZHAO Ji-wen 1  HE Qing-bo 2  LIU Fang1  LIU Yong-bin1
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Abstract

One-dimensional stochastic resonance (1DSR) methods have been widely used in bearing fault diagnosis. However, some deficiencies still exist in the traditional 1DSR methods such as limited weak signal detection capacity, obvious output noise and inaccurate bearing fault characteristic frequency (FCF) for fault recognition, etc. To address these issues, this study proposes a new two-dimensional complementary stochastic resonance (2DCSR) method to enhance bearing fault diagnosis. First, the acquired bearing fault signal is bandpass-filtered according to the location of resonance band and then demodulated. Then the demodulated signal is split into two sub-signals and the sub-signals are sent to the two input channels of the 2DCSR. The weighted power spectral kurtosis (WPSK) of the output signal is used as the criterion to adaptively guide parameters tuning in the 2DCSR system. Finally the optimal output signal and its spectrum are obtained for bearing fault recognition. Numerical and experimental results show that the bearing FCF can be enhanced by the proposed 2DCSR method, thereby improving the performance of bearing fault diagnosis.
Key words: bearing fault diagnosis; two-dimensional complementary stochastic resonance; weighted power spectral kurtosis; weak signal detection

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LU Si-liang1 SU Yun-sheng 1 ZHAO Ji-wen 1 HE Qing-bo 2 LIU Fang1 LIU Yong-bin1. Bearings fault diagnosis based on two-dimensional complementary stochastic resonance[J]. Journal of Vibration and Shock, 2018, 37(4): 7-12

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