Multiscale Permutation Entropy Based Rolling Bearing Fault Diagnosis
Joint Authors
Zheng, Jinde
Cheng, Junsheng
Yang, Yu
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A new rolling bearing fault diagnosis approach based on multiscale permutation entropy (MPE), Laplacian score (LS), and support vector machines (SVMs) is proposed in this paper.
Permutation entropy (PE) was recently proposed and defined to measure the randomicity and detect dynamical changes of time series.
However, for the complexity of mechanical systems, the randomicity and dynamic changes of the vibration signal will exist in different scales.
Thus, the definition of MPE is introduced and employed to extract the nonlinear fault characteristics from the bearing vibration signal in different scales.
Besides, the SVM is utilized to accomplish the fault feature classification to fulfill diagnostic procedure automatically.
Meanwhile, in order to avoid a high dimension of features, the Laplacian score (LS) is used to refine the feature vector by ranking the features according to their importance and correlations with the main fault information.
Finally, the rolling bearing fault diagnosis method based on MPE, LS, and SVM is proposed and applied to the experimental data.
The experimental data analysis results indicate that the proposed method could identify the fault categories effectively.
American Psychological Association (APA)
Zheng, Jinde& Cheng, Junsheng& Yang, Yu. 2014. Multiscale Permutation Entropy Based Rolling Bearing Fault Diagnosis. Shock and Vibration،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1047859
Modern Language Association (MLA)
Zheng, Jinde…[et al.]. Multiscale Permutation Entropy Based Rolling Bearing Fault Diagnosis. Shock and Vibration No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1047859
American Medical Association (AMA)
Zheng, Jinde& Cheng, Junsheng& Yang, Yu. Multiscale Permutation Entropy Based Rolling Bearing Fault Diagnosis. Shock and Vibration. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1047859
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1047859