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Modal identification of multi-degree-of-freedom structures based on intrinsic chirp component decomposition method

  • Sha Wei
  • Shiqian Chen
  • Zhike PengEmail author
  • Xingjian Dong
  • Wenming Zhang
Article
  • 7 Downloads

Abstract

Modal parameter identification is a mature technology. However, there are some challenges in its practical applications such as the identification of vibration systems involving closely spaced modes and intensive noise contamination. This paper proposes a new time-frequency method based on intrinsic chirp component decomposition (ICCD) to address these issues. In this method, a redundant Fourier model is used to ameliorate border distortions and improve the accuracy of signal reconstruction. The effectiveness and accuracy of the proposed method are illustrated using three examples: a cantilever beam structure with intensive noise contamination or environmental interference, a four-degree-of-freedom structure with two closely spaced modes, and an impact test on a cantilever rectangular plate. By comparison with the identification method based on the empirical wavelet transform (EWT), it is shown that the presented method is effective, even in a high-noise environment, and the dynamic characteristics of closely spaced modes are accurately determined.

Key words

modal identification closely spaced mode time-frequency domain intrinsic chirp component decomposition (ICCD) multi-degree-of-freedom (MDOF) system 

Chinese Library Classification

O321 

2010 Mathematics Subject Classification

70J10 

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Copyright information

© Shanghai University and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Sha Wei
    • 1
  • Shiqian Chen
    • 1
  • Zhike Peng
    • 1
    Email author
  • Xingjian Dong
    • 1
  • Wenming Zhang
    • 1
  1. 1.State Key Laboratory of Mechanical System and VibrationShanghai Jiao Tong UniversityShanghaiChina

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