基于EMD和Hilbert包络谱的灵敏轴承缺陷特征分析  

Analysis on Defect Feature of Sensitive Bearings Based on EMD and Hilbert Envelope Spectrum

作　　者：梁兰兰[1] 杨伯原[1] 李建华[2] 

机构地区：[1]河南科技大学机电工程学院,河南洛阳471003 [2]洛阳轴研科技股份有限公司,河南洛阳471039

出　　处：《轴承》2013年第2期48-52,共5页Bearing

摘　　要：为了分析灵敏轴承缺陷特征,提出了利用EMD和Hilbert包络谱组合的方法。首先对轴承摩擦力矩原始信号进行小波降噪处理以提高信噪比,然后用EMD方法进行分解,得到若干IMF分量,最后对相关系数大的IMF分量进行Hilbert包络谱分析。对灵敏轴承外圈、内圈摩擦力矩信号的分析结果表明,这种组合方法能够有效地提取出灵敏轴承的制造缺陷特征。In order to analyze defect feature of friction torque of sensitive bearings, a method is proposed based on EMD and Hilbert Envelope Spectrum. Firstly, the original signal of bearing friction torque is denoised, and then EMD is used to get the IMF components, finally Hilbert Envelope Spectrum analysis is conducted in the bigger correlation coefficient of the IMF components. By analyzing the outer and inner ring signals of sensitive bearings, it shows that this combination method is effective to extract manufacturing defect feature of sensitive bearings.

关 键 词：灵敏轴承 小波降噪 经验模态分解 内禀模态函数 Hilbert包络谱 

分 类 号：TH133.33[机械工程—机械制造及自动化]