Diagnosis of ball bearing with various degree rolling element defects based on local mean decomposition

摘要：

　　This paper aims to explore fault characteristics extraction method to deal with the light and severe rolling element faults based on local mean decomposition (LMD) and Fourier transform (FT).The characteristics of LMD are studied by processing multi-component frequency modulation and amplitude modulation (FM-AM) signal, which are usually used to describe the bearing fault signals.Based on the simulation analysis, the envelope spectrum method called LMD-FT is used to deal with the vibration signals of rolling bailing bearing with various element faults.Moreover, the fault features extracted by LMD are compared with those obtained from conventional Hilbert transform (HT).The results demonstrate that LMD method is an effective way to identify the characteristics of rolling element defect generated at the initial stage.

关键词： rolling element defect local mean decomposition fault diagnosis Hilbert transform

作者: Xuewen Miao Guangyao Cai Tian He

作者单位: Air Force Equipment Academy, Beijing, China School of Transportation Science and Engineering, Beihang University, Beijing, China

会议类型: 国际会议

会议名称: the International Conference Vibroengineering-2014

会议地点: 贵阳

会议语种:英文

页码: 143-148

在线出版日期: 2014-11-07（万方平台首次上网日期，不代表论文的发表时间）