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EXPLOITING ALIASING EFFECTS IN THE EIGENSYSTEM REALIZATION ALGORITHM

机译:在Eigensystem实现算法中利用锯齿效应

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Timedomain identification techniques are not immune to the effects of aliasing. Any modes measured with frequencies over the Nyquist frequency appear as modes within the measurement bandwidth. Research has shown that aliased modes can be accurately identified using the Eigensystem Realization Algorithm (ERA). In this work, this fact is utilized to estimate frequency response function stiffness residuals are extract from an ERA generated state-space model. The residual is estimated using modes that have previously been considered due solely to noise. Aliasing is then explored and it is found that accurate, mass normalized modes can be determined for aliased modes. It is realized that identifying an aliased mode can be difficult and requires some a priori knowledge on the frequency bandwidth that the aliased frequency actually lies in. Numerical data is used to demonstrate the proposed techniques.
机译:TimeDomain鉴定技术对锯齿的影响并不免疫。在奈奎斯特频率上使用频率测量的任何模式都在测量带宽中显示为模式。研究表明,可以使用Eigensystem实现算法(时代)来准确识别锯齿模式。在这项工作中,该事实用于估计频率响应函数刚度残差是从时代产生的状态空间模型中提取的。使用完全被认为仅被噪声所考虑的模式估计残差。然后探索混叠,发现可以确定大规模归一化模式,可以针对锯齿模式确定。实现了识别别名模式可能是困难的并且需要一些关于锯齿频率实际在于in的频率带宽的先验知识。数值数据用于展示所提出的技术。

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