Performance degradation status identification and assessment for rolling bearing based on NAP and RMI

被引：0

作者：

Xia J. ^{[1
]}

Zheng J. ^{[1
]}

Bai Y. ^{[1
]}

Lü Q. ^{[1
]}

Yang G. ^{[1
]}

机构：

[1] Research Center of Military Vehicles Engineering & Technology, Academy of Military Transportation, Tianjin

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2019年 / 38卷 / 23期

关键词：

Nuisance attribute projection (NAP); Performance degradation; Ranking mutual information (RMI); Rolling bearing;

D O I：

10.13465/j.cnki.jvs.2019.23.005

中图分类号：

学科分类号：

摘要：

Extraction of degradation state features is the key for identification and evaluation of rolling bearing degradation status. Nuisance attribute projection (NAP) can be used to overcome shortcomings of traditional methods, and accurately extract characteristics of rolling bearing degraded status, but its monotonicity and sensitivity are poor in the whole life duration. Ranking mutual information (RMI) can be used for NAP's optimization to accurately evaluate bearing degradation status. Here, the optimized orthogonal match pursuing (OOMP) was used to denoise vibration signals. The feature vector PE value calculated using NAP was compared with the reference PE value to identify bearing degradation status. RMI was used to enhance PE value's sensitivity to subtle changes in signals and its monotonicity in the whole life duration to accurately assess bearing degradation status. The tests showed that after using NAP and RMI, the recognition rate of rolling bearing performance degradation status is high; if using NAP and RMI, bearing performance degradation status can be evaluated with high precision and in stages. © 2019, Editorial Office of Journal of Vibration and Shock. All right reserved.

引用

页码：33 / 37

页数：4

共 12 条

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