A study on fault feature extraction of rolling bearings based on combined slice of order-frequency spectral correlation

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (20) : 45-49.

XIA Junzhong,WANG Zhian,CHEN Chengfa,YU Mingqi,L Qipeng

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Abstract

In variable speed condition, complicated frequency, amplitude and phase modulation would appear in the vibration signals of fault bearings.And the fault feature can be effectively extracted based on the order-frequency correlation of the angle/time cyclostationary (AT-CS), but the method has limitation due to its large computation.In this paper, a method of bearing fault feature extraction was proposed based on the combination of slice spectrum by applying the ideal of combined slices to estimate the order-frequency correlation.According to the structural parameters of rolling bearings, the theoretical fault characteristic orders were calculated, and the combined slice center was obtained from the characteristic orders.The combined slice intervals were obtained after a proper choice of the slice width.And then combined slice of order-frequency of the signal was calculated.The fault feature of the rolling bearing was extracted through the energy distribution between the slices.The validity of the method was verified by the simulation signal and the experimental data，and it was concluded that compared with the order-frequency correlation, the combined slice of order-frequency spectral correlation can indicate the bearing failure characteristics more clearly and accurately and have a higher computational efficiency.

Key words

rolling element bearing / fault feature extraction / angle/time cyclostationary / order-frequency spectral correlation / combined slice

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XIA Junzhong,WANG Zhian,CHEN Chengfa,YU Mingqi,L Qipeng. A study on fault feature extraction of rolling bearings based on combined slice of order-frequency spectral correlation[J]. Journal of Vibration and Shock, 2018, 37(20): 45-49

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