基于多分辨SVD包和MED的柔性薄壁轴承故障特征提取与诊断  

Fault Feature Extraction and Diagnosis of Flexible Thin-wall Bearings Based on Multi-resolution SVD Package and MED

作　　者：陈儒 李伟光[1] 严嵩 伍嘉乐 李国臣[2] CHEN Ru;LI Weiguang;YAN Song;WU Jiale;LI Guochen(School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou Guangdong 510640,China;Training Center of Dongguan Polytechnic,Dongguan Guangdong 523808,China)

机构地区：[1]华南理工大学机械与汽车工程学院,广东广州510640 [2]东莞职业技术学院培训中心,广东东莞523808

出　　处：《润滑与密封》2020年第11期97-104,共8页Lubrication Engineering

基　　金：国家自然科学基金项目(51875205,51875216);广东省自然科学基金项目(2018A030310017);广东省教育厅项目(2017KQNCX145);广东省重大科技专项(2019B090918003);广州市科技计划项目(201904010133).

摘　　要：柔性薄壁轴承安装到谐波减速器上时内外圈会受迫变形成椭圆,工作过程中会产生周期性的冲击信号,使得柔性薄壁轴承的故障特征信号提取变得更加复杂。为实现对柔性薄壁轴承故障特征信号的有效提取,提出了一种基于多分辨奇异值分解(SVD)包和最小熵解卷积(MED)的柔性薄壁轴承故障特征提取与诊断的方法。利用多分辨SVD包对采集到的振动信号进行分解,分解后选用前4层中信噪比最高的近似信号进行MED冲击特征提取处理,将处理后的信号与前4层的细节信号进行信号重构和频谱分析,得到故障特征频率,最后将得到的故障特征频率与理论计算值进行对比,判断出故障类型。和单独使用多分辨SVD包处理的实验效果相比,该方法对柔性薄壁轴承的故障特征提取效果更好。When the flexible thin-walled bearing is mounted on the harmonic reducer,the inner and outer rings are forced to form an ellipse,and a periodic shock signal is generated during operation,which makes the extraction of fault features of flexible thin-walled bearings more complicated.In order to realize the effective extraction of fault feature signals of flexible thin-walled bearings,a fault feature extraction and diagnosis method based on multi-resolution SVD package and MED was proposed.The multi-resolution SVD package was used to decompose the collected vibration signal.After decomposing,the MED noise reduction was performed using the approximation signal with the highest signal-to-noise ratio in the first 4 layers.The signal reconstruction and spectrum analysis was performed between the signal after noise reduction and the detail signal of the first 4 layers,and the fault characteristic frequency was obtained.Finally the obtained fault characteristic frequency was compared with the theoretical calculated value to determine the fault type.Compared with the experimental results of multi-resolution SVD package processing alone,this method has better effect on the fault feature extraction of flexible thin-walled bearings.

关 键 词：柔性薄壁轴承 多分辨SVD包 最小熵解卷积 特征提取 

分 类 号：TH133.3[机械工程—机械制造及自动化] TP206.3[自动化与计算机技术—检测技术与自动化装置]