A Combined Method for Time-Varying Parameter Identification Based on Variational Mode Decomposition and Generalized Morse Wavelet

被引:20
|
作者
Wang, Chao [1 ]
Zhang, Jing [2 ]
Zhu, Hong Pin [3 ]
机构
[1] Hubei Univ Technol, Sch Civil Engn Architecture & Environm, Wuhan, Peoples R China
[2] Hefei Univ Technol, Coll Civil Engn, Hefei, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Civil Engn & Mech, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
Variational mode decomposition; generalized morse wavelet; instantaneous frequency; parameter identification; fast iterative shrinkage-thresholding algorithm; UNCERTAINTY QUANTIFICATION; THRESHOLDING ALGORITHM; SYSTEM-IDENTIFICATION; TRANSFORM; FREQUENCIES; TRACKING;
D O I
10.1142/S0219455420500777
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Time-varying parameter identification is essential for structural health monitoring and performance evaluation. In this paper, a combined method based on the variational mode decomposition and generalized Morse wavelet is proposed to identify the structural time-varying parameters. Based on the sparse property of structural response signals in wavelet domain, a fast iterative shrinkage-thresholding algorithm is adopted to reduce the noise. Then the de-noised signal is decomposed into multi- modes by the variational mode decomposition, and the generalized Morse wavelet is performed to identify the instantaneous frequency. To validate the proposed method, a numerical example including different frequency variations is studied. Experimental validations of a moving vehicle across a bridge and a time-varying cable system considering two patterns of cable tension variations in the laboratory are carried out to investigate the capability of the proposed approach. It is confirmed that the proposed approach can effectively perform the signal decomposition, while identifying the instantaneous frequencies of the time-varying systems accurately.
引用
收藏
页数:24
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