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author:

Liu, J. (Liu, J..) [1] | Zheng, J. (Zheng, J..) [2] | Lin, Y. (Lin, Y..) [3] | Qiu, R. (Qiu, R..) [4] | Luo, Y. (Luo, Y..) [5]

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Scopus PKU CSCD

Abstract:

A combined method based on variational mode decomposition (VMD) and synchrosqueezing wavelet transform (SWT) was proposed to identify instantaneous frequencies from multi-component response signals of civil engineering structures. The wavelet scalogram was first introduced to estimate the number of the components contained in a response signal. Then, the VMD was used to decompose the response signal into several mono-components self-adaptively and the SWT was performed on the decomposed component signals to extract their instantaneous frequencies. A multi-component simulation, an aluminum cantilever beam test with abrupt mass reduction and a steel cable test with time-varying tension forces were used to verify the effectiveness and accuracy of the proposed method. The results demonstrated that the proposed method performs better than the traditional Hilbert-Huang transform and the continuous wavelet transform. © 2018, Editorial Office of Journal of Vibration and Shock. All right reserved.

Keyword:

Instantaneous frequency; Multi-component signal; Synchrosqueezing wavelet transform; Time-varying structures; Variational mode decomposition

Community:

  • [ 1 ] [Liu, J.]School of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
  • [ 2 ] [Zheng, J.]School of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
  • [ 3 ] [Lin, Y.]School of Civil engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Qiu, R.]School of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
  • [ 5 ] [Luo, Y.]School of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China

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Source :

Journal of Vibration and Shock

ISSN: 1000-3835

Year: 2018

Issue: 20

Volume: 37

Page: 24-31

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 12

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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