A two-dimensional multi-scale time-frequency distribution entropy based rolling bearing fault diagnosis method

ZHENG Jinde,LI Jiaqi,PAN Haiyang,TONG Jinyu,LIU Qingyun

Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (8) : 215-225.

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PDF(4144 KB)
Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (8) : 215-225.

A two-dimensional multi-scale time-frequency distribution entropy based rolling bearing fault diagnosis method

  • ZHENG Jinde,LI Jiaqi,PAN Haiyang,TONG Jinyu,LIU Qingyun
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Abstract

Multi-scale dispersion entropy (MDE1D) is an effective nonlinear dynamics analysis method to measure the complexity characteristics of one-dimensional vibration signal, but it can only reflect the complexity characteristics in the time domain of the vibration signal, and cannot completely reflect the nonlinear dynamics information in the frequency domain of the vibration signal. To this end, two-dimensional time-frequency dispersion entropy (TFDE2D) is proposed based on the two-dimensional dispersion entropy (DE2D) to measure the time-frequency complexity characteristics of time series. Meanwhile, the traditional coarse-grained method is extended to two-dimensional multi-scale coarse-grained to reflect the complexity of the time-frequency distribution at different scales more completely, and the two-dimensional multi-scale time-frequency dispersion entropy (MTFDE2D) is proposed to measure the multi-scale complexity characteristics of the time-frequency distribution of vibration signal. On this basis, an intelligent diagnosis method for rolling bearings based on MTFDE2D and firefly optimized support vector machines is proposed to extraction of nonlinear features in rolling bearing fault diagnosis. Finally, the proposed method is applied to the analysis of experimental data of rolling bearings and compared with the existing methods. The results show that the proposed method can not only be effective in extracting fault characteristics and realize effective diagnosis of different bearing fault types and degrees, but also has better diagnostic effects than the compared methods.

Key words

time-frequency dispersion entropy / multi-scale time-frequency dispersion entropy / rolling bearing / fireflies optimization support vector machine / fault diagnosis

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ZHENG Jinde,LI Jiaqi,PAN Haiyang,TONG Jinyu,LIU Qingyun. A two-dimensional multi-scale time-frequency distribution entropy based rolling bearing fault diagnosis method[J]. Journal of Vibration and Shock, 2023, 42(8): 215-225

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