[1]陆森林,王龙.CEEMD-FFT在滚动轴承故障诊断中的应用[J].郑州大学学报(工学版),2015,36(01):75-78.[doi:10.3969/ j.issn. 1671 -6833.2015.01.018]
　LU Sen-lin,WANG Long.Application of CEEMD-FFT in Roller Bearing Fault Diagnosis[J].Journal of Zhengzhou University (Engineering Science),2015,36(01):75-78.[doi:10.3969/ j.issn. 1671 -6833.2015.01.018]
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CEEMD-FFT在滚动轴承故障诊断中的应用()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
36
期数:
2015年01期
页码:
75-78
栏目:
出版日期:
2015-01-10

文章信息/Info

Title:
Application of CEEMD-FFT in Roller Bearing Fault Diagnosis
作者:
陆森林; 王龙
江苏大学汽车与交通工程学院,江苏镇江212013
Author(s):
LU Sen-lin; WANG Long
College of Automobile and ’Traffic Engineering，Jiangsu University ,Zhenjiang 212013，China
关键词:
滚动轴承; EMD ; EEMD ; CEEMD分解; 故障诊断
Keywords:
roller bearing ; EMD; EEMD; CEEMD;  fault diagnosis
分类号:
TH133.3 TP18
DOI:
10.3969/ j.issn. 1671 -6833.2015.01.018
文献标志码:
A
摘要:
针对经验模态分解(EMD)在非线性非平稳信号处理中存在模态混叠问题,虽然总体平均经验模态分解(EEMD)能在一定程度上抑制模态混叠问题,但是添加的白噪声不能完全被中和.因此利用补充的总体平均经验模态分解(CEEMD)对降噪监测信号进行分解,减少重构误差,提取最佳的IMF分量，然后对IMF分量进行FFT变换,实现对滚动轴承的故障诊断.通过对实验采集的滚动轴承的振动信号进行分析,证明了该方法的优越性,有一定的使用价值.
Abstract:
Modal aliasing problem exists in nonlinear and non-stationary signal processing through EmpiricalMode Decomposition (EMD ) ;Ensemble Empirical Mode Decomposition EEMD can suppress modal aliasingproblems in some extent,but added white noise can not be completely neutralized.So,complementary Ensem-ble Empirical Mode Decomposition (CEEMD) is proposed,which can reduce the reconstruction error and ex-tract the best Intrinsic Mode Function ( IMF). Then,fast fourier transformation is applied to the lMF compo-nent to derive the characteristic frequency of the fault. Analyzing the vibration signal collected by roller bear-ing experiment proved the superiority of the method and it has some practical value.

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