The theory of wavelet and singular spectrum in the fault diagnosis of rolling bearings

被引：0
|
作者：
Li, F [1 ]
Di, FS [1 ]
Gao, JW [1 ]
Zhang, YT [1 ]
Zhang, XC [1 ]
机构：
[1] Mech Engn Coll, Shijiazhuang 050003, Hebei, Peoples R China
来源：
ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
A noise reduction method based on the characteristic of wavelet analysis and singular spectrum in signals is described in this paper At one time their application are used to analyze the fault characteristic of rolling bearing in the field of fault diagnosis. The application shows this new way can reduce the noise effectively, and enhance the fault characteristic included in the original vibration signal, consequently, improving the level of fault diagnosis of rolling bearing.
引用
收藏
页码：4044 / 4047
页数：4
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