齿轮故障的最优Gabor窗谱检测法
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金资助项目(51005261);重庆市科委自然科学基金计划资助项目(CSTS,2009BB3194);重庆大学211工程(S-09106)


The optimized Gabor window spectrum of gear fault diagnosis detection
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:

    齿轮振动信号中存在大量非平稳信号,在用Gabor谱来进行齿轮振动信号时频分析的基础上,针对Gabor变换中窗函数选择的问题,采用熵度量法来选择最优的Gabor窗函数宽度,提高了Gabor变换的时频聚集性;利用谱图的具有特殊的交叉项机理,在自项支撑区域内做出信号的Gabor谱图,有效去除了分量间的交叉项,并在Gabor谱图上来分析齿轮振动信号的时频分布,且与传统的分析方法作了比较。实验结果表明,在优化的Gabor谱图上能很直观地反应存在异常的齿轮及能量随时间的变化,能较易地诊断出齿轮故障。

    Abstract:

    There is a lot of non-stationary signals in gear vibration signals,which is analyzed by using Gabor spectrum. To resolve the problem of the choice of window,a method based on entropy is proposed to select the optimal Gabor window width,and the time-frequency resolution of Gabor transform is improved. Since the spectrum has its specific mechanism of crossing-item,the Gabor spectrum is calculated in the region of the key support area and the crossing-item is effectively removed,then the Gabor spectrum is used to analysis the time-frequency distribution of vibration signals of gear,and this method is compared with traditional analysis methods. The result shows that the Gabor spectrum can intuitively react abnormal gear and energy changes with time,and easily diagnose the gear fault.

    参考文献
    相似文献
    引证文献
引用本文

柏林,彭春阳,杨冠琼.齿轮故障的最优Gabor窗谱检测法[J].重庆大学学报,2012,35(1):29-33.

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:
  • 出版日期:
文章二维码