A Method for Rolling Bearing Fault Diagnosis Based on the Power Spectrum Analysis and Support Vector Machine

被引：0
|
作者：
Tian Guishuang [1 ]
Wang, Shaoping [1 ]
Zhang, Chao [1 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 10019, Peoples R China
来源：
2012 10TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) | 2012年
关键词：
rolling bearing; fault diagnosis; power spectrum; support vector machine(SVM);
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Rolling bearing is a kind of very common mechanical components, of which the fault diagnosis is of great significance. In former fault diagnosis of bearings power spectrum is widely used. In this paper, a method consists of power spectrum analysis and support vector machine is proposed. Experimental results show that this method can be effectively applied in rolling bearing fault diagnosis.
引用
收藏
页码：546 / 549
页数：4
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