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Estimation of structural modal parameters by fourier transform with an optimal window
作者姓名:朱宏平  万信华
作者单位:School of Civil Engineering & Mechanics, Huazhong University of Science & Technology, Wuhan 430074, China
基金项目:Sponsored by the National Natural Science Foundation of China (Grant No. 50378041 ) and the Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20030487016).
摘    要:An adaptive Fourier Transform (FT) with an optimal window has been proposed for the time-frequency analysis of nonstationary time series. The method allows for a good estimation of both frequency and amplitude of the spectrum and can be easily applied to the general case of time-varying signals. The evaluation of the proposed approach has been performed on measured time-varying signals from a suspension bridge model and a steel frame model whose data have the typical non-stationary characteristics. The numerical results show that the proposed approach can overcome some of the difficulties encountered in the classic Fourier transform technique and can achieve higher computation accuracy.

关 键 词:快速傅立叶变换  时频分析  时间序列  光谱分析
文章编号:1005-9113(2005)05-0595-04
收稿时间:2003-12-01

Estimation of structural modal parameters by fourier transform with an optimal window
Zhu HongPing;Wan XinHua.Estimation of structural modal parameters by fourier transform with an optimal window[J].Journal of Harbin Institute of Technology,2005,12(5):595-598.
Authors:Zhu HongPing;Wan XinHua
Abstract:An adaptive Fourier Transform (FT) with an optimal window has been proposed for the time-frequency analysis of nonstationary time series. The method allows for a good estimation of both frequency and amplitude of the spectrum and can be easily applied to the general case of time-varying signals. The evaluation of the proposed approach has been performed on measured time-varying signals from a suspension bridge model and a steel frame model whose data have the typical non-stationary characteristics. The numerical results show that the proposed approach can overcome some of the difficulties encountered in the classic Fourier transform technique and can achieve higher computation accuracy.
Keywords:short-time fourier transform  optimal window length  modal parameters  engineering structures
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