Instantaneous Frequency Identification of Time-Varying Structures Using Maximum Coefficient Based Multi-synchrosqueezing Transform

被引:0
|
作者
Liu J. [1 ,2 ]
Li Y. [1 ]
Su J. [1 ]
Sheng Y. [1 ,2 ]
Luo Y. [1 ,2 ]
机构
[1] School of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou
[2] “Digital Fujian”Laboratory of Internet Things for Intelligent Transportation Technology, Fuzhou
关键词
instantaneous frequency; multi-synchrosqueezing transform; non-reassigned point; time frequency coefficient; time-varying;
D O I
10.16450/j.cnki.issn.1004-6801.2024.01.006
中图分类号
学科分类号
摘要
In order to solve the problem of non-reassigned points in multi-synchrosqueezing transform and its improved algorithm,a maximum coefficient based multi-synchrosqueezing transform(MCMSST)is proposed to identify the instantaneous frequency(IF)of nonstationary response signals from time-varying structures. The Fourier spectrum is introduced at first to facilitate the selection of cut-off frequency of multi-component signals. After that,short-time Fourier transform is performed on the response signal and the estimated IF can be obtained by taking partial derivative of the Fourier coefficients with respect to time. Multiple iterations are then applied on the obtained IF and only the maximum modulus of time frequency coefficient is retained,in which extra coefficients at other positions are defined as zero. Finally,an operation of reassignment is performed on the estimated IF to get a refined IF band. Due to what the MCMSST extracts is only an IF band but not an IF curve, the maxima of time frequency coefficient modulus method is applied to extract the IF curve in the frequency band restricted by MCMSST. In addition,two numerical cases and an aluminum cantilever beam test with abrupt mass reduction are investigated to verify the effectiveness of the proposed method. The results demonstrate that the proposed MCMSST not only completely removes non-reassigned points in the refined frequency band,but also enhance the accuracy of IF identification and the robustness on noise resistance. © 2024 Nanjing University of Aeronautics an Astronautics. All rights reserved.
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页码:37 / 43and195
相关论文
共 16 条
  • [1] WANG Z C, REN W X, CHEN G D., Time-frequency analysis and applications in time-varying/nonlinear structural systems: a state-of-the-art review, Advances in Structural Engineering, 21, 10, pp. 1562-1584, (2018)
  • [2] SHEN Zhongxiang, YUAN Pingping, LIU Yi, Application of ISEGST in instantaneous frequency identification of nonlinear RC structures, Journal of Vibration and Shock, 40, 22, pp. 283-288, (2021)
  • [3] BAO Wenjie, TU Xiaotong, LI Fucai, Et al., The adaptive short-Fourier transform method based on fast path optimization and its application for fault diagnosis of planetary gearbox, Journal of Vibration,Measurement & Diagnosis, 40, 2, pp. 272-277, (2020)
  • [4] SUR A, JOSHI K D, SHARMA A, Et al., Instantaneous frequency extraction of highly nonstationary optical interferometric signal using reassigned smoothed pseudo Wigner-Ville distribution [J], Optik, 231, (2021)
  • [5] KIJEWSKI T, KAREEM A., Wavelet transforms for system identification in civil engineering[J], Computer-Aided Civil and Infrastructure Engineering, 18, 5, pp. 339-355, (2003)
  • [6] (2019)
  • [7] SEBASTIEN F, ROLAND B, GAEL R., Reassigned time-frequency representations of discrete time signals and application to the Constant-Q transform[J], Signal Processing, 132, pp. 170-176, (2017)
  • [8] ANGRISANI L, D'ARCO M., A measurement method based on a modified version of the chirplet transform for instantaneous frequency estimation, IEEE Transactions on Instrumentation and Measurement, 51, 4, pp. 704-711, (2002)
  • [9] DAUBECHIES I, LU J F, WU H T., Synch-rosqueezed wavelet transforms: an empirical mode decomposition-like tool[J], Applied and Computation Harmonic Analysis, 30, 2, pp. 243-261, (2011)
  • [10] LIU Jingliang, ZHENG Jinyang, LIN Youqin, Et al., Instantaneous frequency identification of time-varying structures using variational mode decomposition and synchro squeezing wavelet transform, Journal of Vibration and Shock, 37, 20, pp. 24-31, (2018)