ROLLING BEARING FAULT ANALYSIS AND WAVELET THRESHOLDING RESEARCH
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.
wavelet thresholding bearing fault frequency
Xu Tongle Zhang Xinyi Jia Qingxuan
School of Automation, Beijing University of Posts and Telecommunications, China 100876 Shandong Prov Shandong Provincial Key Laboratory of Precision Manufacturing and Non-traditional MachiningShandong School of Automation, Beijing University of Posts and Telecommunications, China 100876
国际会议
北京
英文
185-189
2010-11-23(万方平台首次上网日期,不代表论文的发表时间)