A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM
Joint Authors
Cheng, Junsheng
Ao, HungLinh
Li, Kenli
Truong, Tung Khac
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This study investigates a novel method for roller bearing fault diagnosis based on local characteristic-scale decomposition (LCD) energy entropy, together with a support vector machine designed using an Artificial Chemical Reaction Optimisation Algorithm, referred to as an ACROA-SVM.
First, the original acceleration vibration signals are decomposed into intrinsic scale components (ISCs).
Second, the concept of LCD energy entropy is introduced.
Third, the energy features extracted from a number of ISCs that contain the most dominant fault information serve as input vectors for the support vector machine classifier.
Finally, the ACROA-SVM classifier is proposed to recognize the faulty roller bearing pattern.
The analysis of roller bearing signals with inner-race and outer-race faults shows that the diagnostic approach based on the ACROA-SVM and using LCD to extract the energy levels of the various frequency bands as features can identify roller bearing fault patterns accurately and effectively.
The proposed method is superior to approaches based on Empirical Mode Decomposition method and requires less time.
American Psychological Association (APA)
Ao, HungLinh& Cheng, Junsheng& Li, Kenli& Truong, Tung Khac. 2014. A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM. Shock and Vibration،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1048011
Modern Language Association (MLA)
Ao, HungLinh…[et al.]. A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM. Shock and Vibration No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1048011
American Medical Association (AMA)
Ao, HungLinh& Cheng, Junsheng& Li, Kenli& Truong, Tung Khac. A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM. Shock and Vibration. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1048011
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048011