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Time domain averaging based on fractional delay filter

机译：基于分数延迟滤波器的时域平均

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摘要

For rotary machinery, periodic components in signals are always extracted to investigate the condition of each rotating part. Time domain averaging technique is a traditional method used to extract those periodic components. Originally, a phase reference signal is required to ensure all the averaged segments are with the same initial phase. In some cases, however, there is no phase reference; we have to establish some efficient algorithms to synchronize the segments before averaging. There are some algorithms available explaining how to perform time domain averaging without using phase reference signal. However, those algorithms cannot eliminate the phase error completely. Under this background, a new time domain averaging algorithm that has no phase error theoretically is proposed. The performance is improved by incorporating the fractional delay filter. The efficiency of the proposed algorithm is validated by some simulations.
机译：对于旋转机械，总是提取信号中的周期性分量以调查每个旋转零件的状况。时域平均技术是用于提取那些周期分量的传统方法。最初，需要相位参考信号以确保所有平均段具有相同的初始相位。但是，在某些情况下，没有相位参考。我们必须建立一些有效的算法来平均之前的段同步。有一些可用的算法说明了如何在不使用相位参考信号的情况下执行时域平均。但是，这些算法不能完全消除相位误差。在此背景下，提出了一种理论上没有相位误差的时域平均算法。通过合并分数延迟滤波器，可以提高性能。通过仿真验证了所提算法的有效性。

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