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First Results on Regularized Time-Varying Operational Modal Analysis

机译:正则化时变操作模式分析的初步结果

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This paper presents an efficient nonparametric time-varying time domain system identification method for the Operational Modal Analysis (OMA) framework. OMA tackles industrial measurements of vibrating structures in real-life operating conditions without the exact knowledge of the excitation signal. In case of time-varying Operational Modal Analysis it is desired to carefully verify and track the vibration behavior, since during flutter appearance, system destruction can occur. In this work a method is provided to estimate the time-varying output autocorrelation function of vibrating structures and applied to a measurement of wind tunnel testing of an airplane. The proposed method is a novel extension of the regularization methods that have been developed for impulse response estimates of linear time-invariant systems. Using the proposed methodology, the estimated time-varying two-dimensional output autocorrelation model provides a good data-fit with respect to tracking of varying resonances.
机译:本文提出了一种有效的非参数时变时域系统识别方法,用于操作模态分析(OMA)框架。 OMA无需实际了解激励信号,即可在实际运行条件下处理振动结构的工业测量。在时变运行模态分析的情况下,需要仔细验证并跟踪振动行为,因为在颤振出现期间,可能会发生系统破坏。在这项工作中,提供了一种方法来估计振动结构的时变输出自相关函数,并将其应用于飞机风洞测试的测量。提出的方法是对线性时不变系统的脉冲响应估计已开发的正则化方法的一种新颖扩展。使用提出的方法,估计的时变二维输出自相关模型就跟踪变化的共振提供了良好的数据拟合。

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