Adaptive bearing fault diagnosis method of multi-channel correlation

作者：Gu, Chaojian; Ma, Zengqiang^*; Wang, Jiandong; Zhang, Junjia

来源：Journal of Aerospace Power, 2018, 33(7): 1750-1757.

DOI：10.13224/j.cnki.jasp.2018.07.024

• Adaptive resonance
• Empirical Mode Decomposition
• Multi channel
• Rolling bearings
• Spectral Kurtosis

A multi-channel correlation adaptive resonance demodulation (MCC-ARD) method was proposed. MCC-ARD employed redundant signal source to pick up fault information and optimize empirical mode decomposition (EMD) efficiency by spectral kurtosis (SK). The intrinsic mode IMF) components were reconstructed by reasonable choice of the cross-correlation coefficient. The method realized the fault diagnosis of rolling bearings by the reconstructed IMF envelope demodulation. Through the measured data analysis of MCC-ARD, result showed that MCC-ARD not only overcame the defect of poor system correction, but also the spectrum identification rate was 2.7 times of the traditional EMD combined spectral kurtosis demodulation method, making the fault diagnosis results of rolling bearing more clearer and more accurate.

• 出版日期2018
• 单位石家庄铁道大学