文件名称:diagnosis--based-on-LEM

  • 所属分类:
  • 软件工程
  • 资源属性:
  • [PDF]
  • 上传时间:
  • 2014-04-15
  • 文件大小:
  • 1.22mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 唐*
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

A novel fault feature extraction method based on the local mean decomposition technology

and multi-scale entropy is proposed in this paper. When fault occurs in roller bearings, the

vibration signals picked up would exactly display non-stationary characteristics. It is not

easy to make an accurate evaluation the working condition of the roller bearings only

through traditional time-domain methods or frequency-domain methods. Therefore, local

mean decomposition method, a new self-adaptive time-frequency method, is used as a

pretreatment to decompose the non-stationary vibration signal of a roller bearing into a

number of product functions. Furthermore, the multi-scale entropy, referring to the calculation

of sample entropy across a sequence of scales, is introduced here. The multi-scale entropy of

each product function can be calculated as the feature vectors. The analysis results from

practical bearing vibration signals demonstrate that the proposed method is effective.-A novel fault feature extraction method based on the local mean decomposition technology

and multi-scale entropy is proposed in this paper. When fault occurs in roller bearings, the

vibration signals picked up would exactly display non-stationary characteristics. It is not

easy to make an accurate evaluation on the working condition of the roller bearings only

through traditional time-domain methods or frequency-domain methods. Therefore, local

mean decomposition method, a new self-adaptive time-frequency method, is used as a

pretreatment to decompose the non-stationary vibration signal of a roller bearing into a

number of product functions. Furthermore, the multi-scale entropy, referring to the calculation

of sample entropy across a sequence of scales, is introduced here. The multi-scale entropy of

each product function can be calculated as the feature vectors. The analysis results from

practical bearing vibration signals demonstrate that the proposed method is effective.
(系统自动生成,下载前可以参看下载内容)

下载文件列表





print_2014_A fault diagnosis method based on local mean decomposition.pdf

相关说明

  • 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
  • 本站是交换下载平台,提供交流渠道,下载内容来自于网络,除下载问题外,其它问题请自行百度更多...
  • 请直接用浏览器下载本站内容,不要使用迅雷之类的下载软件,用WinRAR最新版进行解压.
  • 如果您发现内容无法下载,请稍后再次尝试;或者到消费记录里找到下载记录反馈给我们.
  • 下载后发现下载的内容跟说明不相乎,请到消费记录里找到下载记录反馈给我们,经确认后退回积分.
  • 如下载前有疑问,可以通过点击"提供者"的名字,查看对方的联系方式,联系对方咨询.

相关评论

暂无评论内容.

发表评论

*主  题:
*内  容:
*验 证 码:

源码中国 www.ymcn.org