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
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;
Conference_Titel :
Advanced Technology of Design and Manufacture (ATDM 2010), International Conference on
Conference_Location :
Beijing
DOI :
10.1049/cp.2010.1285
