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Structural Modal Analysis Based on HHT and Butterworth Filter

机译:基于HHT和Butterworth滤波器的结构模态分析

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Structural signal is taken self-adaptive decomposition by Hilbert-Huang Transform mainly composed of the EMD(empirical mode decomposition) and HT(Hilbert Transform), which is especially suitable for structural projects in the non-linear, non-stationary signal analysis through local characteristic. However, some weak signal may be ignored by EMD resulting in modal missing. Butterworth filter is an electronic filter designed to have flat frequency response. Considering the influence of noise , Hilbert-Huang Transform and Butterworth band pass filter are applied together to process the structural signal in order to obtain the frequency, damping ratio and mode shapes of the structure more precisely in this paper. Numerical Simulation results show that the proposed method in this paper could identify the modal parameters effectively and accurately.
机译:由Hilbert-Huang变换采用结构信号,主要由EMD(经验模式分解)和HT(HILBERT变换)组成,这尤其适用于通过本地非线性的非线性信号分析中的结构项目特征。但是,可以通过EMD忽略一些弱信号,从而导致模态缺失。 Butterworth滤波器是一种旨在具有平坦频率响应的电子滤清器。考虑到噪声的影响,Hilbert-Huang变换和Butterworth带通滤波器一起应用以处理结构信号,以便在本文中更精确地获得结构的频率,阻尼比和模式形状。数值模拟结果表明,本文所提出的方法可以有效准确地识别模态参数。

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