Research on the Feature Selection of Rolling Bearings’ Degradation Features
Joint Authors
Wang, Bing
Yu, He
Li, Hong-ru
Li, Yaolong
Wang, Weiguo
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-22
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
The bearings’ degradation features are crucial to assess the performance degradation and predict the remaining useful life of rolling bearings.
So far, numerous degradation features have been proposed.
Many researchers have devoted to use dimensionality reduction methods to reduce the redundancy of those features.
However, they have not considered the properties and similarity of those features.
In this paper, we present a simple way to reduce dimensionality by classifying different features based on their trends.
And the degradation features can be classified into two subdivisions, namely, uptrends and downtrends.
In each subdivision, there exists visible trend similarity, and we have introduced two indexes to measure this similarity.
By selecting the representative features of the subdivision, the multifeatures can be dimensionality reduced.
Through the comparison, the root mean square and sample entropy are two good representatives of uptrend and downtrend features.
This method gives an alternative way for dimensionality reduction of the rolling bearings’ degradation features.
American Psychological Association (APA)
Li, Yaolong& Li, Hong-ru& Wang, Bing& Yu, He& Wang, Weiguo. 2019. Research on the Feature Selection of Rolling Bearings’ Degradation Features. Shock and Vibration،Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1211431
Modern Language Association (MLA)
Li, Yaolong…[et al.]. Research on the Feature Selection of Rolling Bearings’ Degradation Features. Shock and Vibration No. 2019 (2019), pp.1-19.
https://search.emarefa.net/detail/BIM-1211431
American Medical Association (AMA)
Li, Yaolong& Li, Hong-ru& Wang, Bing& Yu, He& Wang, Weiguo. Research on the Feature Selection of Rolling Bearings’ Degradation Features. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1211431
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211431