DocumentCode
569700
Title
A method for rolling bearing fault diagnosis based on the power spectrum analysis and support vector machine
Author
Guishuang, Tian ; Wang, Shaoping ; Zhang, Chao
Author_Institution
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear
2012
fDate
25-27 July 2012
Firstpage
546
Lastpage
549
Abstract
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.
Keywords
fault diagnosis; mechanical engineering computing; rolling bearings; support vector machines; mechanical components; power spectrum analysis; rolling bearing fault diagnosis; support vector machine; Classification algorithms; Fault diagnosis; Rolling bearings; Spectral analysis; Support vector machines; Training; Vibrations; fault diagnosis; power spectrum; rolling bearing; support vector machine(SVM);
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-0312-5
Type
conf
DOI
10.1109/INDIN.2012.6301231
Filename
6301231
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