摘要
提出了基于时频和双谱分析的滚动轴承诊断的方法。利用伪Wigner-ville分布和双谱估计可绘出滚动轴承故障信号的特征图谱。实验表明,伪Wigner-ville分布和双谱分析方法可以敏感地监测滚动轴承工作状态,并且利用特征图谱可以有效地识别滚动轴承不同的故障特征。
A new fault diagnosis method of rolling bearing based on time-frequency and bispectrum analysis is presented.In the light of pseudo-Wigner-ville distribution and bispectrum estimation analysis,the feature chart of fault signals is established.The experimental results shows that pseudo-Wigner-ville distribution and bispectrum analysis can monitor the working state of rolling bearing efficiently and the different fault features of rolling bearing can be recognized accurately by using feature charts.
作者
李萌
陆爽
LI Meng;LU Shuang(College of Machinery and Engineering,Jilin University,Changchun 130025,China;Mechanical Engineering College,Changchun University,Changchun 130022,China)
出处
《煤矿机械》
北大核心
2005年第8期139-140,共2页
Coal Mine Machinery
基金
吉林省教育厅科研项目(JJh99-10)
