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首页> 外文期刊>Journal of structural engineering >Time-Varying Linear and Nonlinear Structural Identification with Analytical Mode Decomposition and Hilbert Transform
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Time-Varying Linear and Nonlinear Structural Identification with Analytical Mode Decomposition and Hilbert Transform

机译:解析模式分解和希尔伯特变换的时变线性和非线性结构辨识

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Analytical mode decomposition (AMD) of a time series concerning any preselected bisecting frequency with Hilbert transform has been developed for closely spaced multicomponent signal decomposition. For this class of structures, it is often challenging, if not impossible, to apply empirical mode decomposition. In this study, the instantaneous structural frequencies are directly derived from the decomposed modal responses for systems with single and multiple degrees of freedom with both free and force vibrations, based on AMD combined with Hilbert transform analysis. The results show that the slow varying component of the instantaneous frequency of the signal is approximately equal to the instantaneous frequency of the systems for slowly time varying linear or weakly nonlinear structures. Both numerical simulations and experimental tests show that the proposed method is capable of tracking the frequency variations with high accuracy for time varying linear structures or weakly nonlinear structures.
机译:已经开发了与任何预选的二等分频率相关的时间序列的解析模式分解(AMD),并采用希尔伯特(Hilbert)变换来进行紧密间隔的多分量信号分解。对于此类结构,应用经验模式分解通常(即使不是不可能)也是具有挑战性的。在这项研究中,基于AMD与Hilbert变换分析相结合,瞬时结构频率直接来自具有自由振动和力振动的单自由度和多自由度系统的分解模态响应。结果表明,对于缓慢时变的线性或弱非线性结构,信号瞬时频率的缓慢变化分量大约等于系统的瞬时频率。数值模拟和实验测试均表明,该方法能够对时变线性结构或弱非线性结构以高精度跟踪频率变化。

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