Wavelet analysis of shock and vibration on the truck bed
Wavelet analysis of shock and vibration on the truck bed
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货车车厢冲击振动的小波分析
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
T. Shiina
中科院分区：
文献类型：
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作者：
D. Nei;N. Nakamura;Poritosh Roy;Takahiro Orikasa;Y. Ishikawa;H. Kitazawa;T. Shiina
振动通常采用快速傅里叶变换（FFT）算法进行分析，该方法对于分析运输过程中振动的频率特性非常有效。然而，运输过程中振动的本质是非平稳的，FFT 方法在某些情况下不足以处理这种非平稳、与时间相关的数据。在本研究中，使用小波算法分析了非平稳事件的振动数据。虽然没有观察到振动的频率特性的明显变化，但连续小波变换充分检测到频率特性的时间依赖性。当振动数据中包含强烈冲击时，与冲击相对应的小波功率谱显着增加，并且变化范围很广。使用离散小波变换的分析表明，冲击信号位于多个分解级别，并且这取决于冲击方向。考虑到实际冲击的频率特性，局部放大的细节系数和随后的重建成功生成了附加冲击的振动数据。该程序预计将用作振动测试中的冲击产生方法。版权所有 © 2008 约翰·威利父子有限公司
Vibrations are usually analysed by the fast Fourier transform (FFT) algorithm, and this method is efficient for analysing frequency characteristics of vibrations during transportation. However, the nature of vibrations during transportation is non‐stationary, and the FFT method is not sufficient for dealing with such a non‐stationary, time‐dependent data in some cases. In this study, vibration data were analysed for non‐stationary events using a wavelet algorithm. Although apparent changes in frequency characteristics of vibrations were not observed, a continuous wavelet transform sufficiently detected the time dependence of frequency characteristics. When strong shocks were contained in vibration data, wavelet power spectra were significantly increased corresponding to shocks, and the changes were over a wide range of frequencies. The analysis using discrete wavelet transform indicated that shock signals were located in several decomposition levels, and this was dependent on shock direction. Locally amplified detail coefficients and a subsequent reconstruction successfully generated shock‐added vibration data, considering the frequency characteristics of actual shocks. This procedure is expected to be used as a shock generation method in vibration tests. Copyright © 2008 John Wiley & Sons, Ltd.