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Repeated exponential sine sweeps for the autonomous estimation of nonlinearities and bootstrap assessment of uncertainties

机译:重复指数正弦扫描,用于非线性的自主估计和不确定性的自举评估

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摘要

Measurements on vibrating structures has been a topic of interest for decades. Vibrating structures are however generally assumed to behave linearly and in a noise-free environment, which is not the case in practice. This paper provides a methodology that allows for the autonomous estimation of nonlinearities and assessment of uncertainties by bootstrap on a given vibrating structure. Nonlinearities are estimated by means of a block-oriented nonlinear model approach based on parallel Hammerstein models and on exponential sine sweeps. Estimation uncertainties are simultaneously assessed using repetitions of the input signal (multi-sine sweeps) as the input of a bootstrap procedure. Mathematical foundations and a practical implementation of the method are discussed using an experimental example. The experiment chosen here consists in exciting a steel plate under various boundary conditions with exponential sine sweeps and at different levels in order to assess the evolution of nonlinearities and uncertainties over a wide range of frequencies and input amplitudes.
机译:数十年来,振动结构的测量一直是人们关注的话题。然而,通常假定振动结构在无噪声的环境中呈线性行为,而实际情况并非如此。本文提供了一种方法,该方法可以通过在给定的振动结构上进行自举来自动估计非线性并评估不确定性。非线性是通过基于并行Hammerstein模型和指数正弦波的面向块的非线性模型方法估算的。使用输入信号的重复(多正弦扫描)作为自举程序的输入,可以同时评估估计不确定性。使用实验示例讨论了该方法的数学基础和实际实现。此处选择的实验包括在各种边界条件下用指数正弦波和不同水平激励钢板,以评估在宽范围的频率和输入振幅范围内非线性和不确定性的演变。

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