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Journal of Mechanical Science and Technology

, Volume 32, Issue 2, pp 567–577 | Cite as

Unsupervised identification of arbitrarily-damped structures using time-scale independent component analysis: Part I

  • Alireza Farzampour
  • Arash Kamali-Asl
  • Jong Wan Hu
Article
  • 76 Downloads

Abstract

In this study, a new method is proposed to identify the dynamic parameters of structures with higher accuracy compared to current methods. First, the wavelet-transformed representation of system responses is extracted from measured responses, and then the independent component analysis is used to achieve the modal characteristics. The simulation results of a multi-degree-of-freedom system illustrate that this method is capable of accurately identifying the modal information of lightly- and highly-damped structures. It is represented that continuous wavelet transform, due to its adaptive time-frequency resolution, is more efficient to be incorporated into independent component analysis compared to Short time Fourier transform (STFT). The latter is unable to accurately determine the modal response, especially at higher frequencies, while the proposed method can identify the system with marked accuracy. The efficiency of proposed method is also investigated under additive noise. Results shown that for highly- and lightly- damped system, the proposed method is able to capture the modal parameters especially in higher frequencies of vibration, along with the modal assurance criterion values with satisfactory accuracy, which indicates the robustness of the procedure compared to other available methodologies.

Keywords

Independent component analysis Seismic responses Wavelet transform Unsupervised identification 

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Copyright information

© The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Alireza Farzampour
    • 1
  • Arash Kamali-Asl
    • 2
  • Jong Wan Hu
    • 3
    • 4
  1. 1.Department of Civil and Environmental EngineeringVirginia Polytechnic Institute and State UniversityBlacksburgUSA
  2. 2.Department of Civil and Environmental EngineeringUniversity of VermontBurlingtonUSA
  3. 3.Department of Civil and Environnemental EngineeringIncheon National UniversityIncheonKorea
  4. 4.Incheon Disaster Prevention Research CenterIncheon National UniversityIncheonKorea

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