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Fault diagnosis of rolling bearing based on EEMD and fast spectral kurtosis
Published:2021-12-22 author:CAO Ling-ling, LI Jing, PENG Zhen, et al. Browse: 1498 Check PDF documents


Fault diagnosis of rolling bearing based on EEMD and fast spectral kurtosis


CAO Ling-ling, LI Jing, PENG Zhen, HAN Wen-dong, ZHANG Yin-fei

(School of Electrical and Mechanical Engineering, Xi’an Polytechnic University, Xi’an 710048, China)


Abstract: Aiming at the problem of modal mixing and end effects affecting the decomposition effect in the intrinsic mode function (IMF) obtained by empirical mode decomposition(EMD), the vibration data of XJTUSY rolling bearing in Xi’an Jiaotong University was token as an example , and the normal data and failure data of the outer ring vibration were compared an analyzed respectively. First, the normal and failed vibration signals were decomposed by the ensemble empirical mode decomposition (EEMD), and each order of IMF components was obtained. Then the key IMF components were selected to reconstruct the signal through the kurtosis criterion, and the fast spectral kurtosis of the reconstructed signal was calculated. Based on the center frequency and bandwidth obtained by fast spectral kurtosis, the reconstructed signal was processed by bandpass filtering. Finally, the envelope spectrum was compared and analyzed, and the accurate fault characteristic information of the rolling bearing was obtained. The results show that the noise reduction effect of the filtered reconstructed signals obtained by EEMD decomposition and fast spectral kurtosis is obvious, and good fault bandwidth and center frequency can be obtained. This method can effectively measure the vibration frequency of XJTU-SY rolling bearing when the outer ring fault occurs.

Key words: rolling bearing;fault diagnosis; ensemble empirical mode decomposition (EEMD); fast spectral kurtosis; kurtosis criteria



CAO Ling-ling, LI Jing, PENG Zhen, et al. Fault diagnosis of rolling bearing based on EEMD and fast spectral kurtosis［J］.Journal of Mechanical & Electrical Engineering, 2021,38(10):1311-1316.

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