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Application of spectral kurtosis method in fault feature frequency extraction of flexible thin-walled bearing |
CHEN Hui, LI Weiguang, LIN Xin, CUI Junkuan |
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China |
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Abstract Flexible thin-walled bearing is a special type of bearing, and when working, its inner and outer rings are deformed to oval to cause there is periodic impact in its vibration signals. This impact background makes it more difficult to extract its fault features. The spectral kurtosis method uses a kurtosis characteristic of it being sensitive to transient components of signals. The resonance band is extracted accurately according to the principle of kurtosis being the maximum to overcome the defect of traditional resonance demodulation technology requiring manual pre-determination of band-pass filter parameters. Here, adaptive spectral kurtosis, fast kurtosis based on filter set and fast kurtosis based on short time Fourier transformation were analyzed contrastively, then they were used to extract fault feature frequency of inner and outer rings of a flexible thin-walled bearing, respectively. The feature extraction effects of these 3 methods were compared. The results showed that the adaptive spectral kurtosis method is more suitable for extracting fault feature frequency of flexible thin-walled bearings.
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Received: 08 August 2018
Published: 28 December 2019
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