欢迎访问机床与液压官方网站!

咨询热线:020-32385312 32385313 RSS EMAIL-ALERT
变分模态分解及其在轴承故障分析中的应用
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金青年基金资助项目(51705296);山东省自然科学基金资助项目(ZR2016EEM20)


Variational Mode Decomposition and Its Application in Fault Diagnosis for Rolling Element Bearings
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:

    针对经验模态分解在机械信号处理中的缺陷,介绍了变分模态分解的方法,并将其引用到机械信号处理中。将变分模态分解应用于振动信号,得到一组模态,筛选与故障相关的敏感模态进行包络功率谱分析。采用仿真信号和实际滚动轴承信号对该方法的有效性进行检验,证明变分模态分解法可以准确检测出滚动轴承故障。

    Abstract:

    The empirical mode decomposition has many defects in the mechanical signal processing, so the method of variational mode decomposition is focused on and introduced, and referred it to mechanical signal processing. Firstly, the variational modal decomposition was applied to the vibration signal, a set of modalities would be obtained, then the sensitive modality related to the fault would be screened, and finally the envelope power spectrum analysis would be performed. The simulation signal and the actual rolling bearing signal are used to test the effectiveness of the method, which finally proves that the variational modal decomposition method can accurately detect the rolling bearing fault.

    参考文献
    相似文献
    引证文献
引用本文

张丹,隋文涛,宋汝君,袁伟.变分模态分解及其在轴承故障分析中的应用[J].机床与液压,2019,47(17):206-215.
. Variational Mode Decomposition and Its Application in Fault Diagnosis for Rolling Element Bearings[J]. Machine Tool & Hydraulics,2019,47(17):206-215

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: 2020-03-12
  • 出版日期: