改进的HVD在滚动轴承故障诊断中的应用  

Application of Improved HVD in Fault Diagnosis of Rolling Bearings

作　　者：肖璞[1] 殷立 XIAO Pu;YIN Li(College of Computer Science and Technology,Sanjiang University,Nanjing 210012,China;Siemens Ltd.China,Nanjing 211100,China)

机构地区：[1]三江学院计算机科学与工程学院,江苏南京210012 [2]西门子(中国)有限公司,江苏南京211100

出　　处：《控制工程》2020年第2期264-270,共7页Control Engineering of China

基　　金：江苏省高校自然科学研究面上项目(18KJB520042)。

摘　　要：针对希尔伯特振动分解(Hilbert Vibration Decomposition, HVD)在Hilbert变换及低通滤波过程中容易产生端点效应的问题,提出一种改进的希尔伯特振动分解(Improved Hilbert Vibration Decomposition, IHVD)方法。该方法分别在Hilbert变换、低通滤波及同步检测3个过程采用镜像对称延拓方法对信号进行端点预处理,消除Hilbert变换及低通滤波处理时带来的边界效应,随后将Hilbert变换及低通滤波处理后得到的瞬时频率作为参考频率,最终通过同步检测及迭代运算获得若干个幅值大小不同的分量信号。通过仿真信号和滚动轴承故障实验数据的分析结果表明,IHVD方法在振动信号分解及端点效应抑制方面具备较好的性能,并能有效地诊断出滚动轴承的内外圈故障,具备一定的实际应用价值。Due to end effect exists in Hilbert transform and low pass filtering of Hilbert vibration decomposition,an improved Hilbert vibration decomposition method is proposed. Mirror-symmetric extension method is adopted in signal preprocessing in Hilbert transform, low pass filtering and synchronous detection, and the end effect caused by Hilbert transform and low pass filtering was eliminated. Subsequently, instantaneous frequency obtained by Hilbert transform and low pass filtering process was regarded as reference frequency. Finally, several components with different amplitudes were obtained by using synchronous detection and iterative operation. The simulation signal and experiment data generated from roller bearing demonstrated that the proposed method has excellent performance in vibration signal decomposition and end effect suppression, and it can effectively diagnose the roller bearing defect appeared on inner and outer race. So it has certain practical engineering application value.

关 键 词：希尔伯特振动分解 端点效应 滚动轴承 故障诊断 

分 类 号：TH17[机械工程—机械制造及自动化]