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author:

Jiang, Shao-Fei (Jiang, Shao-Fei.) [1] (Scholars:姜绍飞) | Chen, Zhi-Gang (Chen, Zhi-Gang.) [2] | Shen, Qing-Hua (Shen, Qing-Hua.) [3] | Wu, Ming-Hao (Wu, Ming-Hao.) [4] | Ma, Sheng-Lan (Ma, Sheng-Lan.) [5]

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Abstract:

It is known that the wavelet decomposition requires specific wavelet basis functions and decomposition layers. Meanwhile, there exist some problems in the empirical mode decomposition (EMD), such as, false modes. To avoid the disadvantages above, a method of structural damage detection and locating based on the ensemble empirical mode decomposition (EEMD) and the fast independent componentan analysis (FastICA) was presented to accurately extract the structural damage novelty information. At first, the measured structural dynamic responses were preprocessed with EEMD, and then FastICA algorithm was used to extract the feature components involving the damage information so as to detect the structural response anomalies and preliminarily locate damage. After ward, the maximum value of the normalized source distribution vector (NSDV) was computed to accurately locate the structural damage. Finally, a frame numerical example and test were conducted, the results showed that the proposed method can successfully detect damages and locate them. © 2016, Chinese Vibration Engineering Society. All right reserved.

Keyword:

Damage detection Location Numerical methods Signal processing Structural analysis Structural dynamics Wavelet decomposition

Community:

  • [ 1 ] [Jiang, Shao-Fei]College of Civil Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Chen, Zhi-Gang]College of Civil Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Shen, Qing-Hua]College of Civil Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Wu, Ming-Hao]College of Civil Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Ma, Sheng-Lan]College of Civil Engineering, Fuzhou University, Fuzhou; 350108, China

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Source :

Journal of Vibration and Shock

ISSN: 1000-3835

CN: 31-1316/TU

Year: 2016

Issue: 1

Volume: 35

Page: 203-209

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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