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频域空间域分解(FSDD)工作模态参数识别数据处理方法是一种频域和空间域相结合的两步式参数辨识方法:首先由随机响应信号估计功率谱矩阵,并对其进行奇异值分解,由此估计出模态频率和振型,这一步在频域内进行;其次利用空间域的思想得到增强的单自由度功率谱密度函数。该方法在保留传统频域方法快速简便特点的基础上,还能有效地识别近频乃至重频模态。
Frequency-domain spatial domain decomposition (FSDD) modal parameter identification data processing method is a two-step parameter identification method combining frequency domain and spatial domain. Firstly, the power spectrum matrix is estimated from the random response signal, and its singular value Decomposition, which estimates the modal frequency and mode shape, this step in the frequency domain; followed by the idea of space domain enhanced single-degree-of-freedom power spectral density function. Based on the fast and simple method of retaining the traditional frequency-domain method, this method can effectively identify the near-frequency and even-repeated modes.