噪声与振动控制2018，Vol.38Issue(1)：182-187,6.DOI:10.3969/j.issn.1006-1355.2018.01.036
基于谱峭度和Teager能量算子的轴承故障特征增强
Bearing Fault Feature Enhancement Method Based on Spectral Kurtosis and Teager Energy Operator
摘要
Abstract
The difficulty of resonance demodulation method is to determine the parameters of band-pass filters. Spectral kurtosis(SK)can resolve this conundrum by searching for the optimal parameters of the band-pass filters according to the characteristics of signals. However, in the case of strong background noise, SK is inadequate to extract local fault induced cyclic impact from bearing vibration signals due to the in-band noise.Aimed at this issue,a novel fault diagnosis method for rolling bearings is proposed based on spectral kurtosis and Teager energy operator.The Teager energy operator is employed to calculate the energy of signals after the SK, which can suppress the in-band noises and further enhance the cyclic impact feature hidden in vibrations of faulty bearings after filtering.The frequency spectrum of the signal energy is then given to determine the health condition of bearings. The effectiveness of the method is examined by using both simulative and experimental data.关键词
振动与波/共振解调/谱峭度/带内噪声/Teager能量算子/故障诊断Key words
vibration and wave/resonance demodulation/spectral kurtosis/in-band noise/Teager energy operator/fault diagnosis分类
信息技术与安全科学引用本文复制引用
刘建春,胡俊锋,熊国良,唐晓红,张龙..基于谱峭度和Teager能量算子的轴承故障特征增强[J].噪声与振动控制,2018,38(1):182-187,6.基金项目
国家自然科学基金资助项目(51265010,51665013) （51265010,51665013）
江西省青年科学基金资助项目(20161BAB216134) （20161BAB216134）
江西省教育厅科技资助项目(GJJ160472) （GJJ160472）
