Evaluation on Filter Performance of Variational Mode Decomposition and Its Application in Separating Closely Spaced Modes
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-13
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The equivalent filter characteristics of variational mode decomposition (VMD) are fully evaluated when applied to the fractional Gaussian noise (fGn) and the application in separating closely spaced modes of vibration system is performed in this paper.
VMD is a newly proposed signal decomposition technique, which nonrecursively decomposes a signal into a given number of subsignals (modes), and each mode is mostly compact around a center pulsation.
The filter performance of VMD is largely dependent on the constraint parameter and the initialization of center frequencies.
In order to extract the desired modes, criteria for the determination of decomposition parameters are established.
The initial center frequencies could be simply determined by prior estimated modal frequencies of the analyzed signal, while the constraint parameter is optimized utilizing a genetic algorithm (GA).
A two-degree-of-freedom parametric system is considered to evaluate the capability of VMD in the separation of closely spaced modes.
Compared with the noise-assisted versions of empirical mode decomposition (EMD) and wavelet packet transform (WPT), the parameter-optimized VMD can successfully separate the closely spaced modes while recovering the most modal information simultaneously.
When introduced to the ground vibration test (GVT) of a horizontal tail, the proposed method successfully extracted the first five oscillation modes and identified the modal parameters accurately.
American Psychological Association (APA)
Gu, Wenjing& Zhou, Li. 2020. Evaluation on Filter Performance of Variational Mode Decomposition and Its Application in Separating Closely Spaced Modes. Shock and Vibration،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1210299
Modern Language Association (MLA)
Gu, Wenjing& Zhou, Li. Evaluation on Filter Performance of Variational Mode Decomposition and Its Application in Separating Closely Spaced Modes. Shock and Vibration No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1210299
American Medical Association (AMA)
Gu, Wenjing& Zhou, Li. Evaluation on Filter Performance of Variational Mode Decomposition and Its Application in Separating Closely Spaced Modes. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1210299
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210299