Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis
Joint Authors
Cui, Jianwei
Yan, Ruqiang
Shan, Mengxiao
Wu, Yahui
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-07
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper presents an enhanced rolling bearing fault diagnosis approach, based on optimized wavelet packet transform (WPT) assisted with quantitative wavelet function selection.
Mutual information is utilized as a quantitative measure to select the most suitable wavelet function for the WPT-based vibration analysis.
Energy features from coefficients of an optimal set of orthogonal wavelet subspaces which resulted from the WPT-based vibration analysis are input to different classifiers.
The fault states of the rolling bearings can then be identified.
Experiment studies conducted on a rolling bearing test system have verified the effectiveness of the proposed approach for rolling bearing fault diagnosis.
American Psychological Association (APA)
Yan, Ruqiang& Shan, Mengxiao& Cui, Jianwei& Wu, Yahui. 2015. Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis. Shock and Vibration،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1078340
Modern Language Association (MLA)
Yan, Ruqiang…[et al.]. Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis. Shock and Vibration No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1078340
American Medical Association (AMA)
Yan, Ruqiang& Shan, Mengxiao& Cui, Jianwei& Wu, Yahui. Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1078340
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078340