A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Variational mode decomposition (VMD) is a new method of signal adaptive decomposition.
In the VMD framework, the vibration signal is decomposed into multiple mode components by Wiener filtering in Fourier domain, and the center frequency of each mode component is updated as the center of gravity of the mode’s power spectrum.
Therefore, each decomposed mode is compact around a center pulsation and has a limited bandwidth.
In view of the situation that the penalty parameter and the number of components affect the decomposition effect in VMD algorithm, a novel method of fault feature extraction based on the combination of VMD and particle swarm optimization (PSO) algorithm is proposed.
In this paper, the numerical simulation and the measured fault signals of the rolling bearing experiment system are analyzed by the proposed method.
The results indicate that the proposed method is much more robust to sampling and noise.
Additionally, the proposed method has an advantage over the EMD in complicated signal decomposition and can be utilized as a potential method in extracting the faint fault information of rolling bearings compared with the common method of envelope spectrum analysis.
American Psychological Association (APA)
Yi, Cancan& Lv, Yong& Dang, Zhang. 2016. A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition. Shock and Vibration،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1120084
Modern Language Association (MLA)
Yi, Cancan…[et al.]. A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition. Shock and Vibration No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1120084
American Medical Association (AMA)
Yi, Cancan& Lv, Yong& Dang, Zhang. A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1120084
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120084