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Multiresolution wavelet-based approach to identification of modal parameters of a vehicle full-scale crash test

机译:基于多分辨率小波的车辆满载碰撞试验模态参数识别方法

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In this work estimation of vehicle modal parameters was achieved by application of a wavelet-based method. The time-frequency analysis, which comprises those techniques that study a signal in both the time and frequency domains simultaneously, using Morlet wavelet properties are applied to the measured acceleration pulse of the colliding vehicle. Determination of the ridge of the wavelet coefficients matrix makes it possible to identify the frequency components of the recorded crash pulse. Subsequently, by using the estimated natural frequency of the system, the values of damping factor for a given mode shape are assessed. In this work there are concerned both: the major frequencies of the crash pulse and damping factor for the major mode shape.
机译:在这项工作中,车辆模态参数的估计是通过基于小波的方法实现的。时频分析包括使用Morlet小波特性同时研究时域和频域信号的那些技术,这些技术应用于碰撞车辆的测量加速度脉冲。小波系数矩阵的脊的确定使得可以识别所记录的碰撞脉冲的频率分量。随后,通过使用估计的系统固有频率,评估给定模式形状的阻尼系数值。在这项工作中,既涉及碰撞脉冲的主要频率,也涉及主要模式形状的阻尼因数。

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