Condition Monitoring for Bearing using Envelope Spectrum of EEMD

被引:7
作者
Ai, Shufeng [1 ]
Li, Hui [2 ]
Zhang, Yuping [2 ]
机构
[1] Zhejiang Univ Media & Commun, Dept Commun Technol, Hangzhou, Zhejiang, Peoples R China
[2] Shijiazhuang Inst Railway Technol, Dept Electromech Engn, Shijiazhuang, Peoples R China
来源
2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL I | 2009年
基金
中国国家自然科学基金;
关键词
Vibration; fault diagnosis; bearing; envelope spectrum; ensemble empirical mode decomposition; EMPIRICAL MODE DECOMPOSITION;
D O I
10.1109/ICMTMA.2009.429
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
In order to overcome the shortcomings of the traditional envelope analysis in which manually specifying a resonant frequency band is required, a novel approach based on the ensemble empirical mode decomposition (EEMD) and envelope spectrum is proposed for detecting Localized defects in rolling bearings. This approach can extract the characteristic frequencies related to the defect from the resonant frequency band of the vibration signal. The techniques are demonstrated by the experiments on a machine tool with a ball bearing under simulated crack on the inner race or outer race. Experimental results show that the proposed approach is effective and reliable in detecting Localized defects of bearings.
引用
收藏
页码:190 / 193
页数:4
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