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Removing Unwanted Noise from Operational Modal Analysis Data

机译:从操作模态分析数据中去除不需要的噪声

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Operational modal analysis data includes the measurement of dynamic signals such as structural vibration data and the corresponding excitation force or pressure. In addition to the desired information, measured structural vibration data can include unwanted electrical noise and vibration energy from adjacent structures. Measured dynamic pressures can contain unwanted signals such as acoustic and vibration induced pressures. In this paper, a noise removal technique is presented in which an unlimited number of unwanted correlated signals can be removed from a set of measured data. In its simplest form, this technique is related to coherent output power (COP). However, unlike COP noise removal, multiple signals can be removed from measured data while retaining the magnitude and phase of the original data required for modal analysis processing. This technique is demonstrated using vibration data and dynamic wall pressure measurements from a thin-walled aluminum cylinder filled with water flowing at 20 ft/s.
机译:操作模态分析数据包括测量动态信号,例如结构振动数据和相应的激发力或压力。除了期望的信息之外,测量的结构振动数据可以包括来自相邻结构的不需要的电噪声和振动能量。测量的动态压力可以包含不需要的信号,例如声学和振动诱导的压力。在本文中,提出了一种噪声去除技术,其中可以从一组测量数据中移除无限数量的不希望的相关信号。在其最简单的形式中,该技术与相干输出功率(COP)有关。然而,与COP噪声移除不同,可以从测量数据中移除多个信号,同时保留模态分析处理所需的原始数据的幅度和相位。使用振动数据和动态壁压测量来证明该技术,填充有20英尺/秒的水的薄壁铝圆筒。

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