现代制造工程Issue(6)：27-30,39,5.
基于谐波小波和 Hilbert的滚动轴承故障诊断方法
Fault diagnosis based on harmonic wavelet and Hilbert in rolling bearing
摘要
Abstract
Spindle rolling bearing is one of the most important components in spindle unit.The running state often affects the per-formance of the CNC machine tool spindle transmission system directly.In order to improve the reliability of fault diagnosis of spindle rolling bearing,the method of harmonic wavelet filtering is used to diagnose the vibration signals collected at the scene ac-cording to the characteristics of non-stationary of CNC machine tool spindle rolling bearing’ s vibration signals.And the Hilbert envelopment analysis of the filtered signal is proposed to extract the fault characteristic of rolling bearings.The example shows that, the harmonic wavelet filtering method has a good filtering effect,Hilbert envelopment analysis can extract the fault feature of the fil-tered signals effectively and the method improve the accuracy of fault diagnosis of CNC machine tool spindle rolling bearing.关键词
谐波小波滤波/Hilbert包络分析/故障诊断/数控机床/滚动轴承Key words
harmonic wavelet filter/Hilbert envelopment analysis/fault diagnosis/CNC machine tool/rolling bearing分类
机械制造引用本文复制引用
张邦成,陈珉珉,尹晓静,高智,吴立刚..基于谐波小波和 Hilbert的滚动轴承故障诊断方法[J].现代制造工程,2015,(6):27-30,39,5.基金项目
国家自然科学基金资助项目（61374138）；吉林省教育厅“十一五”科学技术研究项目 （）
