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Reconstruction of crash pulse of a vehicle involved in central localized collision based on Morlet wavelets

机译:基于Morlet小波的中央局部碰撞车辆碰撞脉冲的重构。

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A wavelet-based approach is presented in this paper to reconstruct acceleration pulse of a vehicle involved in a crash event. The described method for time-frequency analysis is based on techniques which investigate both: time and frequency components of a signal being considered. It is achieved in this work by application ofMorlet wavelet properties. Major frequency components which are included in the original acceleration pulse are identified. Subsequently, their times of occurrence are detected as well. Those steps are necessary for multiresolution analysis which leads to creation of a scalegram of the reference signal. Finally, having full insight into the time-frequency components of the analyzed characteristics, the reconstruction of the reference signal is executed -superposition principle allows to combine major signal components yielding the reproduced crash pulse. The comparative analysis between the current method’s outcome and the behavior of a real car is performed and reliability of the actual methods and tools is evaluated.
机译:本文提出了一种基于小波的方法来重构碰撞事件中车辆的加速脉冲。所描述的时频分析方法基于以下技术:研究信号的时间和频率分量。在这项工作中,这是通过应用Morlet小波特性来实现的。识别原始加速度脉冲中包括的主要频率分量。随后,还检测到它们的出现时间。这些步骤对于多分辨率分析是必需的,这会导致创建参考信号的比例图。最后,在充分了解所分析特性的时频成分之后,执行参考信号的重构-叠加原理允许组合主要信号成分,从而产生再现的碰撞脉冲。在当前方法的结果和真实汽车的行为之间进行比较分析,并评估实际方法和工具的可靠性。

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