基于MED-SVM的齿轮箱故障诊断方法
In order to solve the problem of gearbox fault diagnosis,a new method based on minimum entropy deconvolution(MED)and support vector machine(SVM)is proposed.MED is used for gearbox vibration acceleration signal under background noise,then feature parameters extracted on breadth domain,frequency domai...
Saved in:
| Main Authors: | 刘志川, 唐力伟, 曹立军, 张远刚 |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2014-01-01
|
| Series: | Jixie chuandong |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2014.12.030 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
基于卡尔曼滤波和数学形态学分形分析的齿轮箱故障诊断
by: 刘志川, et al.
Published: (2014-01-01) -
基于SVM与GA参数优化的齿轮箱断齿故障诊断方法研究
by: 张星辉, et al.
Published: (2012-01-01) -
基于MF-DFA和SVM的齿轮箱故障诊断
by: 刘春林, et al.
Published: (2014-01-01) -
基于多重分形与SVM的齿轮箱故障诊断研究
by: 朱云博, et al.
Published: (2012-01-01) -
齿轮箱故障诊断系统与方法
by: 汤和
Published: (1989-01-01)