An Integrated Cumulative Transformation and Feature Fusion Approach for Bearing Degradation Prognostics
Joint Authors
Duan, Lixiang
Wang, Jinjiang
Zhao, Fei
Wang, Ning
Zhang, Jiwang
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-18
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Aimed at degradation prognostics of a rolling bearing, this paper proposed a novel cumulative transformation algorithm for data processing and a feature fusion technique for bearing degradation assessment.
First, a cumulative transformation is presented to map the original features extracted from a vibration signal to their respective cumulative forms.
The technique not only makes the extracted features show a monotonic trend but also reduces the fluctuation; such properties are more propitious to reflect the bearing degradation trend.
Then, a new degradation index system is constructed, which fuses multidimensional cumulative features by kernel principal component analysis (KPCA).
Finally, an extreme learning machine model based on phase space reconstruction is proposed to predict the degradation trend.
The model performance is experimentally validated with a whole-life experiment of a rolling bearing.
The results prove that the proposed method reflects the bearing degradation process clearly and achieves a good balance between model accuracy and complexity.
American Psychological Association (APA)
Duan, Lixiang& Zhao, Fei& Wang, Jinjiang& Wang, Ning& Zhang, Jiwang. 2018. An Integrated Cumulative Transformation and Feature Fusion Approach for Bearing Degradation Prognostics. Shock and Vibration،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1215528
Modern Language Association (MLA)
Duan, Lixiang…[et al.]. An Integrated Cumulative Transformation and Feature Fusion Approach for Bearing Degradation Prognostics. Shock and Vibration No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1215528
American Medical Association (AMA)
Duan, Lixiang& Zhao, Fei& Wang, Jinjiang& Wang, Ning& Zhang, Jiwang. An Integrated Cumulative Transformation and Feature Fusion Approach for Bearing Degradation Prognostics. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1215528
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215528