Research on Rolling Bearing Fault Diagnosis Based on Full Vector Empirical Mode Decomposition

摘要：

　　Focus on the problems of fault message missing and diagnosing result not exact by the traditional single-channel method, this paper proposed a full vector empirical mode decomposition method, which uses the full vector message fuse skill and combines the empirical mode decomposition.First of all, use the empirical mode decomposition (EMD) arithmetic to decompose the two-channel signal into some signal of different frequency, and then mix the signal together by the full vector, finally carry on Fourier Transformation, in the end, we can find the corresponding frequency of extreme point, and confine the fault frequency.Experiment shows that, this method can accurately find out the fault frequency.

关键词： full vector message fuse empirical mode dcomposition

作者: You Jiang Tang Liwei Deng Shijie

作者单位: College of Mechanical and Engineering,Shijiazhuang,China

会议类型: 国际会议

会议名称: The 2015 International Conference on Advances in Construction Machinery and Vehicle Engineering(2015 工程机械与车辆工程新进展国际学术会议)

会议地点: 西安

会议语种:英文

页码: 324-327

在线出版日期: 2015-09-18（万方平台首次上网日期，不代表论文的发表时间）