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A Comparative Assessment of In-Operation Modal Analysis and Frequency Domain Decomposition Algorithm Using Simulated Data

机译:使用模拟数据的操作中模态分析和频域分解算法的比较评估

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Recently a new In-Operation modal identification algorithm has been proposed by one of the authors (INOPMA). The algorithm is based on considering the correlation sequence of the outputs of the structure as an impulse response but with a certain phase shift. A numerical modal appropriation is then performed and it is shown that a mode is isolated at a certain characteristic frequency. The estimation of the modal parameters is then done in a standard way. We investigate in this paper the performance of INOPMA under realistic excitation and we compare it to the Frequency Domain Decomposition algorithm (FDD). The example is a 3DOF system under El-Centro seismic excitation. It is shown that both methods perform equally well.
机译:最近,一位作者(Inopma)提出了一种新的操作系统模态识别算法。该算法基于考虑结构输出的相关序列作为脉冲响应,但具有一定的相移。然后执行数值模态拨款,并示出了以某个特征频率分离的模式。然后以标准方式估计模态参数。我们在本文中调查了InoPMA在现实激励下的性能,并将其与频域分解算法(FDD)进行了比较。该示例是EL-Centro地震激励下的3DOF系统。结果表明,两种方法同样表现得很好。

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