Weak fault feature extraction of rolling bearing based on secondary clustering segmentation and Teager energy spectrum
WANG Wangwang1, DENG Linfeng1,2, ZHAO Rongzhen1, ZHANG Aihua2
1. School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
2. School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
The key to identify local faults of rolling bearing is to accurately extract weak periodic fault features from noisy vibration signals. Aiming at this problem, a method to extract weak fault features of rolling bearing based on secondary clustering segmentation and Teager energy spectrum was proposed here. Firstly, the frequency spectrum of a fault signal was obtained with Fourier transform, and the clustering segmentation was done for this spectrum using the fuzzy C-means algorithm. Then, the inverse Fourier transform was done for each frequency segment to calculate kurtosis values of time domain signals in different frequency bands, and the time domain signal corresponding to the frequency band with the maximum kurtosis was selected as the useful signal to be further filtered. The secondary clustering segmentation and the inverse Fourier transform were done for the useful signal,so the frequency band with the maximum kurtosis was taken as the passband singal to further eliminate effects of noise and natural periodic components. Finally, Teager energy operator was used to demodulate the obtained time domain fault signal to acquire feature frequencies of bearing weak faults. Simulation analysis and test verification results showed that the proposed method can accurately and effectively extract weak fault features of rolling bearing.
王望望1，邓林峰1，2，赵荣珍1，张爱华2. 基于二次聚类分割与Teager能量谱的滚动轴承微弱故障特征提取[J]. 振动与冲击, 2020, 39(13): 246-253.
WANG Wangwang1, DENG Linfeng1,2, ZHAO Rongzhen1, ZHANG Aihua2. Weak fault feature extraction of rolling bearing based on secondary clustering segmentation and Teager energy spectrum. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(13): 246-253.
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