Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79886
Title: Time-varying system identification using variational mode decomposition
Authors: Ni, PH 
Li, J
Hao, H
Xia, Y 
Wang, XY
Lee, JM
Jung, KH
Keywords: Bridge-vehicle system
Instantaneous frequency
Modal identification
Time-varying systems
Variational mode decomposition
Issue Date: 2018
Publisher: John Wiley & Sons
Source: Structural control and health monitoring, June 2018, v. 25, no. 6, e2175 How to cite?
Journal: Structural control and health monitoring 
Abstract: A new time-varying system identification approach is proposed in this paper by using variational mode decomposition. The newly developed variational mode decomposition technique can decompose the measured responses into a limited number of intrinsic mode functions, and the instantaneous frequencies of time-varying systems are identified by the Hilbert transform of each intrinsic mode function. Numerical and experimental verifications are conducted to demonstrate the effectiveness and accuracy of using the proposed approach for time-varying system identification, that is, to obtain the instantaneous frequency. Numerical studies on a structural system with time-varying stiffness are conducted. Experimental validations on analyzing the measured vibration data in the laboratory from a steel frame structure and a time-varying bridge-vehicle system are also conducted. The results from the presented technique are compared with those from empirical mode decomposition-based methods, which verify that the developed approach can identify the instantaneous frequencies with a better accuracy.
URI: http://hdl.handle.net/10397/79886
ISSN: 1545-2255
EISSN: 1545-2263
DOI: 10.1002/stc.2175
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