DocumentCode
560784
Title
Rolling bearing fault analysis and wavelet thresholding research
Author
Xu Tongle ; Zhang Xinyi ; Jia Qingxuan
Author_Institution
Sch. of Autom., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2010
fDate
23-25 Nov. 2010
Firstpage
185
Lastpage
189
Abstract
The causes of bearing fault and frequency changes are analyzed. The actual bearing fault signals are analyzed by wavelet and signal noise are reduced by three wavelet thresholding model. Bearing noise reduction effective way is obtained with three wavelet thresholding model comparison, and frequency analysis of signal is made in order to get bearing characteristic value.
Keywords
failure analysis; fault diagnosis; mechanical engineering computing; rolling bearings; signal denoising; spectral analysis; vibrations; wavelet transforms; bearing fault signal; bearing noise reduction; rolling bearing fault analysis; rolling bearing vibration monitoring; signal frequency analysis; signal noise reduction; wavelet thresholding model; bearing fault; frequency; wavelet thresholding;
fLanguage
English
Publisher
iet
Conference_Titel
Advanced Technology of Design and Manufacture (ATDM 2010), International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1049/cp.2010.1285
Filename
6139005
Link To Document