Wavelet transform-based modal parameter identification considering uncertainty

被引:95
作者
Yan, BF
Miyamoto, A
Brühwiler, E
机构
[1] Yamaguchi Univ, Dept Comp & Syst Engn, Ube, Yamaguchi 7558611, Japan
[2] Swiss Fed Inst Technol, EPFL, Inst Maintenance & Safety Struct, MCS ENAC, CH-1015 Lausanne, Switzerland
基金
日本学术振兴会;
关键词
D O I
10.1016/j.jsv.2005.06.005
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This paper presents an integrated identification method to consider the uncertainty effect on modal parameters for output-only system. The method is based on the time-frequency characteristics of the wavelet transform (WT) and the capabilities of the bootstrap distribution in statistical estimation. For the WT-only based identification method, the important issues related to identification accuracy such as modal separation, end-effect, associated with the parameter selection of wavelet function based on Shannon entropy, are given detailed investigations. The bootstrap procedure is then employed to evaluate the uncertainty effects by providing confidence interval of the modal parameter statistically. The effectiveness of the integrated method has been confirmed through numerical simulation and experimental test on a bridge model. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:285 / 301
页数:17
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