Automated Bearing Fault Diagnosis Using 2D Analysis of Vibration Acceleration Signals under Variable Speed Conditions
Joint Authors
Khan, Sheraz Ali
Kim, Jong-Myon
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-20
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Traditional fault diagnosis methods of bearings detect characteristic defect frequencies in the envelope power spectrum of the vibration signal.
These defect frequencies depend upon the inherently nonstationary shaft speed.
Time-frequency and subband signal analysis of vibration signals has been used to deal with random variations in speed, whereas design variations require retraining a new instance of the classifier for each operating speed.
This paper presents an automated approach for fault diagnosis in bearings based upon the 2D analysis of vibration acceleration signals under variable speed conditions.
Images created from the vibration signals exhibit unique textures for each fault, which show minimal variation with shaft speed.
Microtexture analysis of these images is used to generate distinctive fault signatures for each fault type, which can be used to detect those faults at different speeds.
A k -nearest neighbor classifier trained using fault signatures generated for one operating speed is used to detect faults at all the other operating speeds.
The proposed approach is tested on the bearing fault dataset of Case Western Reserve University, and the results are compared with those of a spectrum imaging-based approach.
American Psychological Association (APA)
Khan, Sheraz Ali& Kim, Jong-Myon. 2016. Automated Bearing Fault Diagnosis Using 2D Analysis of Vibration Acceleration Signals under Variable Speed Conditions. Shock and Vibration،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1119901
Modern Language Association (MLA)
Khan, Sheraz Ali& Kim, Jong-Myon. Automated Bearing Fault Diagnosis Using 2D Analysis of Vibration Acceleration Signals under Variable Speed Conditions. Shock and Vibration No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1119901
American Medical Association (AMA)
Khan, Sheraz Ali& Kim, Jong-Myon. Automated Bearing Fault Diagnosis Using 2D Analysis of Vibration Acceleration Signals under Variable Speed Conditions. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1119901
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1119901