Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper presents an improved gearbox fault diagnosis approach by integrating complementary ensemble empirical mode decomposition (CEEMD) with permutation entropy (PE).
The presented approach identifies faults appearing in a gearbox system based on PE values calculated from selected intrinsic mode functions (IMFs) of vibration signals decomposed by CEEMD.
Specifically, CEEMD is first used to decompose vibration signals characterizing various defect severities into a series of IMFs.
Then, filtered vibration signals are obtained from appropriate selection of IMFs, and correlation coefficients between the filtered signal and each IMF are used as the basis for useful IMFs selection.
Subsequently, PE values of those selected IMFs are utilized as input features to a support vector machine (SVM) classifier for characterizing the defect severity of a gearbox.
Case study conducted on a gearbox system indicates the effectiveness of the proposed approach for identifying the gearbox faults.
American Psychological Association (APA)
Zhao, Liye& Yu, Wei& Yan, Ruqiang. 2016. Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy. Shock and Vibration،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1119063
Modern Language Association (MLA)
Zhao, Liye…[et al.]. Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy. Shock and Vibration No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1119063
American Medical Association (AMA)
Zhao, Liye& Yu, Wei& Yan, Ruqiang. Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1119063
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1119063