Extraction of Transmission Bearing Fault Characters Based on EMD and Fractal Theory
Tbe vibration signal of transmission bearing is decomposed by empirical mode decomposition, and fractal dimensions of decomposed intrinsic mode functions are calculated to extract fault characters of transmission bearings of different conditions. The results show that empirical mode decomposition method is able to separate signals of different frequency bands effectively, and the fractal dimension of specific IMF component is able to reflect the technology state of transmission bearing sensitively, which can be selected as the characteristic parameters to diagnose transmission bearing fault. The combination of empirical mode decomposition and fractal dimension is an effective method of transmission bearings fault character extraction.
component transmission bearing empirical mode decomposition Fractal dimension fault character extraction
Jianmin Mei Yuanhong Liu Yunkui Xiao Huimin Zhao Ruili Zeng Long Qiao Xianglong Chen
Department of Guns Engineering Ordnance Engineering College Shijiazhuang 050003, P.R. China Departme Department of Automotive Engineering Academy of Military Transportation Tianjin, 300161 P.R.China
国际会议
西安
英文
215-219
2011-05-13（万方平台首次上网日期，不代表论文的发表时间）