Fault diagnosis of rolling bearings based on improved enhanced envelope spectrum

被引：2
|
作者：
Huang, Baoyu [1 ]
Zhang, Yongxiang [1 ]
Zhu, Danchen [2 ]
机构：
[1] Naval Univ Engn, Dept Power Engn, Wuhan, Peoples R China
[2] Naval Petty Officer Acad, Dept Mech & Elect Engn, Bengbu, Peoples R China
来源：
JOURNAL OF VIBROENGINEERING | 2021年 / 23卷 / 02期
关键词：
rolling bearing; fault diagnosis; fast spectral correlation; spectral Gini index; CORRELATED KURTOSIS; IDENTIFICATION; DECOMPOSITION;
D O I：
10.21595/jve.2020.21668
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Aiming at the problem that traditional fast spectral correlation (Fast-SC) cannot effectively extract the fault feature of rolling bearings under strong background noise, we propose to select a band with abundant fault information on the spectral frequency axis by Spectral Gini Index (SGI) and integrate over them to obtain the Improved Enhanced Envelope Spectrum (IEES). The proposed method doesn't rely on the selection of precise fault characteristic frequency, and has a good industrial application prospect. The simulated and experimental results of rolling bearings prove the effectiveness of the algorithm.
引用
收藏
页码：373 / 384
页数：12
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