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

W. Pawlus, H. Karimi, K. Robbersmyr
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引用次数: 1

Abstract

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.
基于多分辨率小波的整车全尺寸碰撞试验模态参数识别方法
本文采用基于小波的方法对车辆模态参数进行估计。将Morlet小波特性应用于碰撞车辆的加速度脉冲测量,将时频分析技术应用于碰撞车辆的加速度脉冲测量。确定小波系数矩阵的脊使得识别记录的碰撞脉冲的频率成分成为可能。然后,利用估计的系统固有频率,评估给定模态振型的阻尼系数值。在这项工作中,有两个问题:碰撞脉冲的主要频率和主要模态振型的阻尼因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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