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Application of Time-Frequency Distribution and FRFT in Modal Parameter Identification

机译:时频分布和FRFT在模态参数识别中的应用

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A combination of fractional Fourier transform (FRFT) and time-frequency method is presented to identify ambient excited modes. In this method, Gabor expansion is applied to identify natural frequencies and damping ratios. The signal autocorrelation can enhance energy distribution of each channel signal, which can help to identify parameter. FRFT is a good tool to estimate excitation signal. A simulation example is presented to demonstrate the performance of this method. The results have shown that the proposed method gives a reasonable estimation of modal parameters and excitation signal from response signals.
机译:提出了分数傅里叶变换(FRFT)和时频方法的组合来识别环境激发模式。在该方法中,施用Gabor扩展以识别固有频率和阻尼比率。信号自相关可以增强每个信道信号的能量分布,这可以有助于识别参数。 FRFT是估算励磁信号的良好工具。提出了模拟示例以证明这种方法的性能。结果表明,该方法提供了从响应信号的模态参数和激励信号的合理估计。

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