Instantaneous frequency identification of time-varying structures using variational mode decomposition and synchroextracting transform

被引:0
|
作者
Tang L. [1 ]
Huang T. [1 ]
Wan X. [1 ]
机构
[1] School of Civil Engineering, Central South University, Changsha
来源
关键词
Cable test; Instantaneous frequency identification; Synchronous extraction transform(SET); Time-varying structure; Variational mode decomposition(VMD);
D O I
10.13465/j.cnki.jvs.2022.06.025
中图分类号
学科分类号
摘要
Aiming at the problem that synchroextracting transform (SET) cannot separate multi-component signals whose frequency components are close to each other, a method combining variational mode decomposition (VMD) and synchroextracting transform was proposed to identify the instantaneous frequency of time-varying structures. Firstly, the number of preset modes was determined by the Fourier transform, and the multi-component signal was decomposed by using VMD to obtain multiple mode components. Then, SET was used to analyze each modal component to obtain the instantaneous frequency. Finally, the time-frequency representation of each modal component was superimposed to obtain a complete time-frequency representation of the multi-component signal. The results of instantaneous frequency identification for multi-component time-varying signals and two degree of freedom time-varying structural free vibration response signals verified the effectiveness and correctness of the method based on VMD and SET. The results show that the method has strong noise robustness and energy aggregation, It circumvents the disadvantage of the SET that cannot process multi-component signals with close frequency components to effectively identify the instantaneous frequency of time-varying structures with close frequency components. The applicability of the method was verified by the experiment of identifying the instantaneous frequency of a cable when the cable force changes linearly and sinusoidally. © 2022, Editorial Office of Journal of Vibration and Shock. All right reserved.
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页码:197 / 205
页数:8
相关论文
共 21 条
  • [1] BOUALEM B., Time-frequency signal analysis and processing: a comprehensive reference, (2016)
  • [2] (2003)
  • [3] WANG Chao, REN Weixin, HUANG Tianli, Instantaneous frequency identification of a structure based on complex wavelet transform, Journal of Vibration Engineering, 22, 5, pp. 492-496, (2009)
  • [4] HUANG Dongmei, ZHOU Shi, REN Weixin, Parameter identification of time-varying and typical nonlinear vibration system based on wavelet transform, Journal of Vibration and Shock, 33, 13, pp. 123-129, (2014)
  • [5] DAUBECHIES I, LU J F, WU H T., Synchrosqueezed wavelet transforms: an empirical mode decomposition-like tool, Applied and Computational Harmonic Analysis, 30, 2, pp. 243-261, (2011)
  • [6] LIU Jingliang, REN Weixin, WANG Zuocai, Et al., Instantaneous frequency identification based on synchrosqueezing wavelet transformation, Journal of Vibration and Shock, 32, 18, pp. 37-42, (2013)
  • [7] LIU Jingliang, ZHENG Jinyang, ZHENG Wenting, Et al., Instantaneous frequency identification of signal based on improved synchrosqueezing wavelet, Journal of Vibration, Measurement and Diagnosis, 37, 4, pp. 814-821, (2017)
  • [8] WANG Chao, ZHU Hongping, AI Demi, Structural time varying parameter identification based on synchrosqueezed wave let transform, Journal of Huazhong University of Science and Technology (Natural Science Edition), 45, 11, pp. 46-50, (2017)
  • [9] OBERLIN T, MEIGNEN S, PERRIER V., The Fourier-based synchrosqueezing transform, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing, (2014)
  • [10] XU Xiaodi, WANG Weidong, LIU Jinzhao, Et al., Instantaneous frequency components separation method based on synchrosqueezed short time Fourier transform, Journal of Vibration Engineering, 31, 6, pp. 1085-1092, (2018)