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The synchronous (time domain) average revisited

机译：重访同步（时域）平均值

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摘要

Synchronous averaging is one of the most powerful techniques for the extraction of periodic signals from a composite signal. It is based on averaging periodic sections, necessitating an a-priori knowledge of the period sought. It is one of the most effective signal processing tools applied to rotating machinery, and has been known and used for decades.lt will be shown that synchronous average is actually just one of the many possible "synchronous filters" which could be used to extract the above periodic components performance. A novel signal analysis, geared to periodic signals will be introduced, with the potential of extracting more complex phenomena typical of some rotating machinery. Examples given are based on periodic oscillating transients, with various additive interferences. The possibility of additional signal processing approaches is also discussed.
机译：同步平均是从复合信号中提取周期信号的最强大技术之一。它基于对定期部分的平均，因此需要先期了解所需的时间。它是应用于旋转机械的最有效的信号处理工具之一，并且已经知道并使用了数十年。它将证明，同步平均实际上只是可用于提取信号的许多“同步滤波器”之一。以上定期组件的性能。将介绍一种针对周期性信号的新颖信号分析，具有提取某些旋转机械特有的更复杂现象的潜力。给出的示例基于具有各种附加干扰的周期性振荡瞬变。还讨论了其他信号处理方法的可能性。

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