欢迎访问机床与液压官方网站!

咨询热线:020-32385312 32385313 RSS EMAIL-ALERT
基于阶比分析和EEMD的轴承故障诊断
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对轴承故障诊断中轴的转速变化影响振动信号提取的特点,将阶比分析法与总体平均经验模式分解方法相结合,提出一种研究轴承非平稳振动信号的故障诊断方法。对轴承的振动信号按传统的方法在时域上进行采样,通过计算阶比跟踪将其转化为角域上的准平稳信号,对上述角域信号进行总体平均经验模态分解得出包含故障信息的模态函数分量,并对该分量进行频谱分析。应用结果表明:该方法能够有效地提取出轴承的故障特征。

    Abstract:

    Aimed at the characteristics of fault vibration signals processes were affected by the variable speed of the bearing in fault diagnosis,a new fault diagnosis method combined of order tracking analysis with Ensemble Empirical Mode Decomposition(EEMD)was proposed for studying of signals of unstable vibration of bearing.The bearing vibration signal was sampled at constant time increments traditionally,and computer order tracking was used to transform the data at constant angle increments in angle-domain.With the method of EEMD,the angle domain stationary signal was adaptively decomposed into a finite number of Intrinsic Mode Function(IMF)containing fault information.Each IMF was analyzed by frequency spectrum.The application results show that this method can effectively extract the fault characteristics of the bearing.

    参考文献
    相似文献
    引证文献
引用本文

吕建新,黄炯龙,曹红燕,陈文龙.基于阶比分析和EEMD的轴承故障诊断[J].机床与液压,2014,42(9):170-172.
.[J]. Machine Tool & Hydraulics,2014,42(9):170-172

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2015-01-09
  • 出版日期: