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Removal of shaft speed related components from the response signals of a machine with varying speed prior to Operational Modal Analysis

机译:在运行模态分析之前,从速度变化的机器的响应信号中删除与轴速度相关的组件

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It is an advantage to remove discrete frequency components from response vibration signals before carrying out operational modal analysis (OMA), because they tend to disrupt the operation of normal OMA algorithms. The removal of such components can be achieved by carrying out order tracking, to remove the effects of speed variations by resampling with a fixed number of samples per period of the frequencies to be removed, so that they are in discrete lines in the order spectrum, and can then in principle be removed by techniques designed for constant speed machines. If the speed variations are greater than 1% or so, the spectrum of the order tracked signals is no longer a frequency spectrum, so modal properties, which are related to frequency, can no longer be obtained by OMA. This paper introduces a method where signals are transformed into the order domain, and after the removal of shaft speed related components are transformed back to the time domain to allow normal OMA to be applied. The method is demonstrated using signals from a gearbox casing excited (via a shaker) with a varying frequency signal containing 22 harmonics corresponding to speed variations of ±15%.
机译:在执行操作模态分析(OMA)之前,从响应振动信号中删除离散频率分量是一个优势,因为它们会破坏正常的OMA算法的运行。可以通过执行阶次跟踪来消除此类分量,以通过在每个要去除的频率周期内以固定数量的样本进行重采样来消除速度变化的影响,以使它们位于阶次频谱中的离散行中,并且原则上可以通过为恒速机器设计的技术将其移除。如果速度变化大于1%左右,则顺序跟踪信号的频谱不再是频谱,因此OMA将无法再获得与频率相关的模态属性。本文介绍了一种将信号转换为阶数域的方法,并在去除轴速相关分量后将其转换回时域以允许应用正常的OMA。使用来自变速箱外壳的信号(通过振动器)激励的方法进行了演示,该信号的变化频率信号包含22个谐波,对应于±15%的速度变化。

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