This article presents a new data processing method, based on higher order dynamic mode decomposition, to analyze actual flight test experimental data. The new methodology (i) is fast and efficient, (ii) is automatic, (iii) provides a clean spectrum in terms of the frequencies and damping rates of the flutter modes, and (iv) reconstructs the spatial distribution of the modes over the aircraft surface. The method gives useful and interesting information for predicting flutter and is suitable to analyze flight test data in real time.

中文翻译：

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一种用于分析飞行颤振测试数据的自动，高效的新方法

本文提出了一种基于高阶动态模式分解的新数据处理方法，用于分析实际的飞行试验实验数据。新方法（i）快速，高效，（ii）自动，（iii）就颤振模式的频率和阻尼率提供了清晰的频谱，并且（iv）重构了模式在振子上的空间分布飞机表面。该方法提供了有用且有趣的信息来预测颤振，并且适合于实时分析飞行测试数据。