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author:

Liu, Jingliang (Liu, Jingliang.) [1] | Zheng, Jinyang (Zheng, Jinyang.) [2] | Lin, Youqin (Lin, Youqin.) [3] (Scholars:林友勤) | Qiu, Renhui (Qiu, Renhui.) [4] | Luo, Yongpeng (Luo, Yongpeng.) [5]

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EI 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:

Aluminum coated steel Signal processing Wavelet decomposition

Community:

  • [ 1 ] [Liu, Jingliang]School of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou; 350002, China
  • [ 2 ] [Zheng, Jinyang]School of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou; 350002, China
  • [ 3 ] [Lin, Youqin]School of Civil engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Qiu, Renhui]School of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou; 350002, China
  • [ 5 ] [Luo, Yongpeng]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

CN: 31-1316/TU

Year: 2018

Issue: 20

Volume: 37

Page: 24-31

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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