Bearing Fault Diagnosis Based on EEMD and AR Spectrum Analysis

摘要：

　　In this paper,a novel method based on ensemble empirical mode decomposition (EEMD) and autoregressive (AR) spectrum is presented to fault diagnosis of rolling bearing.This method can carry out ensemble empirical mode decomposition and extract feature information of different machine parts in condition monitoring and fault diagnosis of machinery.The criterion of adding white noise in EEMD method is established.EEMD is used for avoiding mode mixing in signal decomposition,and it is combined with the AR spectrum in this paper.Then the AR model estimation is applied to each intrinsic mode function and the AR spectrum is obtained.Finally,the proposed method is applied to analyze the rolling bearing vibration signal and the result confirms the advantage of the proposed method.

关键词： Fault diagnosis Bearing Ensemble empirical mode decomposition AR Spectrum

作者: Han Wang Hongkai Jiang Dong Guo

作者单位: School of Aeronautics Northwestern Polytechnical University, Xi’an 710072, China

会议类型: 国际会议

会议名称: 2013西安国际航空维修与管理学术会议

会议地点: 西安

会议语种:英文

页码: 389-396

在线出版日期: 2013-11-25（万方平台首次上网日期，不代表论文的发表时间）