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Wavelet-based detection of abrupt changes in natural frequencies of time-variant systems

机译:基于小波的时变系统自然频率突变检测

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Detection of abrupt changes in natural frequencies from vibration responses of time-variant systems is a challenging task due to the complex nature of physics involved. It is clear that the problem needs to be analysed in the combined time-frequency domain. The paper proposes an application of the input-output wavelet-based Frequency Response Function for this analysis. The major focus and challenge relate to ridge extraction of the above time-frequency characteristics. It is well known that classical ridge extraction procedures lead to ridges that are smooth. However, this property is not desired when abrupt changes in the dynamics are considered. The methods presented in the paper are illustrated using simulated and experimental multi-degree-of-freedom systems. The results are compared with the classical Frequency Response Function and with the output only analysis based on the wavelet auto-power response spectrum The results show that the proposed method captures correctly the dynamics of the analysed time-variant systems.
机译:由于所涉及物理的复杂性,从时变系统的振动响应中检测自然频率的突变是一项具有挑战性的任务。显然,需要在组合时频域中分析该问题。本文提出了一种基于输入输出小波的频率响应函数的分析方法。主要的重点和挑战涉及上述时频特性的岭提取。众所周知,经典的山脊抽取程序会导致山脊平滑。但是,当考虑动态的突然变化时,则不需要此属性。本文使用模拟和实验的多自由度系统对本文提出的方法进行了说明。将结果与经典频率响应函数以及基于小波自功率响应谱的仅输出分析进行了比较。结果表明,该方法正确地捕获了所分析的时变系统的动力学特性。

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