Research on the Selection Method of the Optimal Wavelet Function for Modal Parameters Identification

In order to solve the problem of arbitrariness and qualitative analysis in selecting wavelet function, a quantitative analysis index for modal parameters identification was proposed from the view of correlation, energy, and entropy. The continuous wavelet transform of vibration response signal for different wavelet functions was conducted. The correlation coefficients between the original signal and wavelet transform coefficients was computed, and then the preliminary selection of wavelet function with large correlation coefficient was finished. Then, the index of the ratio of energy to entropy was introduced based on the criterion of energy and entropy. Finally, a numerical simulation of a system with three degrees of freedom was used to verify the proposed index, and the research result shows that the optimal wavelet function for modal parameters identification is the complex morlet function. The wavelet function selected is used to identify the modal parameters of Z24 bridge and the suspension bridge.


  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 1919-1929
  • Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility

Subject/Index Terms

Filing Info

  • Accession Number: 01768115
  • Record Type: Publication
  • ISBN: 9780784483053
  • Files: TRIS, ASCE
  • Created Date: Dec 9 2020 3:03PM