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Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features
Joint Authors
Wen, Weigang
Cheng, Weidong
Fan, Zhaoyan
Karg, Donald
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Nonlinear characteristics are ubiquitous in the vibration signals produced by rolling element bearings.
Fractal dimensions are effective tools to illustrate nonlinearity.
This paper proposes a new approach based on Multiscale General Fractal Dimensions (MGFDs) to realize fault diagnosis of rolling element bearings, which are robust to the effects of variation in operating conditions.
The vibration signals of bearing are analyzed to extract the general fractal dimensions in multiscales, which are in turn utilized to construct a feature space to identify fault pattern.
Finally, bearing faults are revealed by pattern recognition.
Case studies are carried out to evaluate the validity and accuracy of the approach.
It is verified that this approach is effective for fault diagnosis of rolling element bearings under various operating conditions via experiment and data analysis.
American Psychological Association (APA)
Wen, Weigang& Fan, Zhaoyan& Karg, Donald& Cheng, Weidong. 2015. Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features. Shock and Vibration،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1077979
Modern Language Association (MLA)
Wen, Weigang…[et al.]. Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features. Shock and Vibration No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1077979
American Medical Association (AMA)
Wen, Weigang& Fan, Zhaoyan& Karg, Donald& Cheng, Weidong. Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1077979
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1077979