Sifting process of EMD and its application in rolling element bearing fault diagnosis

被引:37
|
作者
Dong, Hongbo [1 ]
Qi, Keyu [2 ]
Chen, Xuefeng [1 ]
Zi, Yanyang [1 ]
He, Zhengjia [3 ]
Li, Bing [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Mech Engn, Xian 710049, Peoples R China
[2] Inst Electromech Informat Technol, Xian 710065, Peoples R China
[3] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China
基金
中国国家自然科学基金;
关键词
Sifting process; EMD; Demodulation; Shock pulse method; Bearing fault diagnosis; EMPIRICAL MODE DECOMPOSITION; WAVELET ANALYSIS; HILBERT SPECTRUM; TRANSFORM;
D O I
10.1007/s12206-009-0438-9
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Among the vibration-based fault diagnosis methods for rolling element bearing, the shock pulse method (SPM) combined with the demodulation method is a useful quantitative technique for estimating bearing running state. However, direct demodulation often misestimates the shock value of characteristic defect frequency. To overcome this disadvantage, the vibration signal should be decomposed before demodulation. Empirical mode decomposition (EMD) can be an alternative for preprocess bearing fault signals. However, the trouble with this method's application is that it is time-consuming. Therefore, a novel method that can improve the sifting process's efficiency is proposed, in which only one time of cubic spline fitting is required in each sifting process. As a consequence, the time for EMD analysis can be evidently shortened and the decomposition results simultaneously maintained at a high precision. Simulations and experiments verify that the improved EMD method, combined with SPM and demodulation analysis, is efficient and accurate and can be effectively applied in engineering practice.
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页码:2000 / 2007
页数:8
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