Defect size estimation of rolling bearings based on double impulses characteristic method

Abstract

Abstract: A defect size estimation method based on double impulses feature is proposed in this paper for rolling bearing. This method realizes accurate estimation of fault defect size according to extracted feature signals of the rolling bearing. Collected vibration signals are pre-whitened by an AR model, and the pre-whited signals are decomposedinto a series of Intrinsic Mode Functions (IMFs) by Variational Mode Decomposed (VMD). According to the kurtosis value and the mutual information being the largest, the step component and the impact component are extracted respectively. Then, the square envelope is applied to enhance characteristics of the signals. According to double impulsescharacteristics, the corresponding time when the rolling element enters or exits the defect is determined hereby, and the defect size estimation method of the fault bearing is put forward as a result. This paper also shows the influence of rotational speed and defect size on accuracy of above method, and analyzes possible causes of errors. The effectiveness of the proposed extraction method has been verified by experiments. The error of estimated defect size is less than 5%. It is verified that the defect size estimation method has higher accuracy.

Key words: double impulses, rolling bearing, calculate defect size, VMD

CLC Number:

TH133.3

YAN Chang-feng, ZHAO Wei-kun, MENG Jia-dong, WANG Wen-bin, WU Li-xiao. Defect size estimation of rolling bearings based on double impulses characteristic method[J]. Journal of Lanzhou University of Technology, 2021, 47(2): 39-47.

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