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How Wrong Signal Processing Can Lead to Problems

机译:信号处理如何导致问题

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Strictly speaking, the FFT analyzer is intended for use with harmonically related signals that are stationary in time. In other words, all signals are in the center of the bin and never change with time, at least the analysis time. We have learned how to live with non bin centered data by the use of windows. We still have a way to go in how to handle very noisy data. The path is even longer in being able to extract useful data from transient vibration data. The secret to obtaining useful data in these cases is an understanding of the FFT process and how it may be used to provide good approximations of transient data. This paper will discuss several cases where great care must be taken in setting up the analyzer or very misleading data will be produced.
机译:严格来说,FFT分析仪旨在与稳定性的谐波相关信号一起使用。换句话说,所有信号都位于箱的中心,并且永远不会随时间变化,至少分析时间。我们已经学会了如何通过使用Windows与非垃圾箱居住。我们仍然有办法进入如何处理非常嘈杂的数据。能够从瞬态振动数据中提取有用的数据,该路径甚至更长。在这些情况下获得有用数据的秘诀是了解FFT过程以及如何使用它来提供良好的瞬态数据近似。本文将讨论几个案例,必须在建立分析仪或非常误导数据时进行大心谨慎。

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