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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:在操作模态分析之前,通过不同速度的机器的响应信号移除轴速相关组件

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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,从响应振动信号中消除离散频率分量是有利的,因为它们倾向于破坏正常OMA算法的操作。通过进行订单跟踪可以通过重新采样来消除速度变化的效果来实现这些部件的去除,以便通过每个周期的固定数量的样本进行重新采样,使得它们处于顺序频谱中的离散线,然后,原则上可以通过专为恒速机设计的技术除去。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不再能够获得与频率相关的模态特性。本文介绍了一种方法,其中信号被转换为订单域,并且在移除轴速相关部件之后,将返回到时域以允许施加正常的OMA。使用来自齿轮箱壳体的信号(通过振动筛)的信号进行说明该方法,其不同的频率信号包含与±15%的速度变化相对应的22次谐波。

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