Detecting damage of rolling bearings using EMD

被引:4
作者
Gao, Q [1 ]
He, ZJ
Chen, XF
Qi, KY
机构
[1] Xian Jiaotong Univ, Sch Mech Engn, Xian 710049, Peoples R China
[2] Xian Jiaotong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China
来源
DAMAGE ASSESSMENT OF STRUCTURES VI | 2005年 / 293-294卷
关键词
damage detection; EMD; signal processing; rolling bearing damage;
D O I
10.4028/www.scientific.net/KEM.293-294.753
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Empirical mode decomposition (EMD) method is introduced, and a new EMD based approach for damage detection of rolling bearings is presented. In this approach, the characteristic high-frequency signal with amplitude modulation of rolling bearings with local damage is separated from the mechanical vibration signal as an intrinsic mode function (IMF) by using EMD, and an envelope signal can be obtained by using Hilbert transform. Then, the characteristic frequency of damage of rolling bearings is extracted by applying Fourier transform to the envelope signal. The presented approach is used to analyse experimental signals collected from rolling bearings with outer race damage or inner race damage, and the results indicate that the EMD based approach can detect damage of rolling bearings more effectively comparing with traditional envelope analysis method.
引用
收藏
页码:753 / 760
页数:8
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