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Research on Rolling Bearing Fault Feature Extraction Based on Singular Value Decomposition considering the Singular Component Accumulative Effect and Teager Energy Operator
Joint Authors
Li, Longlong
Cui, Yahui
Chen, Runlin
Chen, Lingping
Wang, Lihua
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-30
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The extraction of impulsive signatures from a vibration signal is vital for fault diagnosis of rolling element bearings, which are always whelmed by noise, especially in the early stage of defect development.
Aiming at the weak defect diagnosis, kurtosis of Teager energy operator (KTEO) spectrum is employed to indicate the fault information capacity of a spectrum, and considering the accumulative effect of a singular component, accumulative kurtosis of TEO (AKTEO) is firstly proposed to determine the proper signal reconstructed order during vibration signal processing using singular value decomposition (SVD).
Then, a vibration processing scheme named SVD-AKTEO is designed where an iteration is employed to reflect an accumulative singular effect by kurtosis of TEO spectrum.
Finally, the fault diagnosis results can be extracted from the TEO spectrum output by SVD-AKTEO.
Simulation data and real data from a run-to-failure experiment of a rolling bearing are adopted to validate the efficiency, and comparative analysis demonstrates the feasibility to detect the early defect of the rolling bearing.
American Psychological Association (APA)
Li, Longlong& Cui, Yahui& Chen, Runlin& Chen, Lingping& Wang, Lihua. 2019. Research on Rolling Bearing Fault Feature Extraction Based on Singular Value Decomposition considering the Singular Component Accumulative Effect and Teager Energy Operator. Shock and Vibration،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1211182
Modern Language Association (MLA)
Li, Longlong…[et al.]. Research on Rolling Bearing Fault Feature Extraction Based on Singular Value Decomposition considering the Singular Component Accumulative Effect and Teager Energy Operator. Shock and Vibration No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1211182
American Medical Association (AMA)
Li, Longlong& Cui, Yahui& Chen, Runlin& Chen, Lingping& Wang, Lihua. Research on Rolling Bearing Fault Feature Extraction Based on Singular Value Decomposition considering the Singular Component Accumulative Effect and Teager Energy Operator. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1211182
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211182