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
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);
Conference_Titel :
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-0312-5
DOI :
10.1109/INDIN.2012.6301231
