Abstract:During operation of a flexible thin-walled bearing used in harmonic reducer, periodic impact components are produced due to long and short shafts of inner ring alternating. When a fault occurs in the bearing, normal periodic impact components and impact caused by fault are superimposed together to make the fault feature extraction difficult. Here, aiming at this characteristic, the EEMD-MCKD fault feature extraction method based on kurtosis principle for flexible thin-walled bearing was proposed. Firstly, the fault signal was pre-processed with the ensemble empirical mode decomposition (EEMD) algorithm. Irrelevant and redundant components in signal was filtered with the kurtosis principle, and the selected intrinsic mode function (IMFs) were used to obtain EEMD reconstructed signal. Then according to characteristics of flexible thin-wall bearing’s vibration signal, the parameter optimization was done for the maximum correlated kurtosis decomposition (MCKD). Finally, the parameter optimized MCKD was used to do fault feature extraction from the EEMD reconstructed signal. The proposed method was used to extract fault features in actually measured vibration signals of flexible thin-wall bearing’s outer ring. Results showed that clear fault feature frequency was extracted in vibration signal of outer ring of flexible thin-wall bearing with the proposed method; compared with the single EEMD and MCKD algorithms, the EEMD-MCKD algorithm has a better fault feature extraction effect.
刘兴教,赵学智,李伟光,陈辉. 基于峭度原则的EEMD-MCKD的柔性薄壁轴承故障特征提取[J]. 振动与冲击, 2021, 40(1): 157-164.
LIU Xingjiao, ZHAO Xuezhi, LI Weiguang, CHEN Hui. EEMD-MCKD fault feature extraction method for flexible thin-wall bearing based on kurtosis principle. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(1): 157-164.
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