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

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.

关键词： rolling bearing fault diagnosis power spectrum support vector machine(SVM)

作者: Tian Guishuang Shaoping Wang Chao Zhang

作者单位: School of Automation Science and Electrical Engineering, Beihang University, Beijing 10019,China Science and Technology on Aircraft Control Laboratory, Beijing 10019,China

会议类型: 国际会议

会议名称: IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)

会议地点: 北京

会议语种:英文

页码: 546-549

在线出版日期: 2012-07-25（万方平台首次上网日期，不代表论文的发表时间）