A comparison of wavelet transform and Hilbert-Huang transform for modal parameter extraction of structure

• YAN Banfu

  Dept of Computer & Systems Eng., Yamaguchi University

• MIYAMOTO Ayaho

  Dept of Computer & Systems Eng., Yamaguchi University

• GOTO Satoshi

  Dept of Computer & Systems Eng., Yamaguchi University

抄録

This paper presents the use of time-frequency decomposition based on two novel methods termed wavelet transform (WT) and Hilbert-Huang transform (HHT) for modal parameter extraction of structure. The impacts of modal separation, end effects, and noise levels on the time-frequency resolutions of these two approaches are investigated and compared by using numerical simulations. To verify their effectiveness on the real structure, an experimental study is implemented on a bridge model subjected to impact load and ambient vehicle loadings. The parameter identification results demonstrate that both the WT and HHT are effective as the time-frequency resolutions are given sufficient concerns, whereas from the viewpoints of parameter selection and quantitative analysis, in some sense, the WT method seems to be more theoretical and efficient than the HHT.

収録刊行物

• 応用力学論文集

  応用力学論文集 7 1167-1178, 2004

  公益社団法人 土木学会

キーワード

• Modal parameter extraction
• Wavelet transform
• Hilbert-huang transform

詳細情報

• CRID: 1390001205206194688
• NII論文ID: 130004091546
• DOI: 10.2208/journalam.7.1167
• ISSN: 1884832X
• ISSN: 13459139
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可