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Analysis of Full-Period and Non-full-Period Sampling of Vibration Signal for Engine Rotors

机译:发动机转子振动信号的全周期和非全周期采样分析

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摘要

In this paper, some main software implementations concerning full-period sampling and non-full-period sampling are cited. Re-sampling technique based on cubic spline interpolation and harmonic analysis algorithm are representative methods of respectively full-period sampling and non-full-period sampling. The advantages and limitations of the two methods are compared by means of MATLAB simulation and experiment. Analysis of results finds that the re-sampling technique can completely restore the periodical signals and effectively avoid spectral leakage and fence effect, but it needs a large amount of operations. When synchronous error is considerable the compute of period can be inaccurate. Harmonic analysis algorithm of non-full-period sampling can avoid spectral leakage caused by synchronization error and has a great tolerance for deviation. Moreover, it can make the harmonic analysis surpass the Shannon theorem. However, it can only analyze integer multiple frequency signal.
机译:在本文中,引用了关于全周期采样和非全周期采样的一些主要软件实现。基于立方样条插值和谐波分析算法的重新采样技术是分别是全周期采样和非全周期采样的代表方法。通过MATLAB仿真和实验比较了两种方法的优点和局限。结果分析发现,重新采样技术可以完全恢复周期性信号,有效地避免光谱泄漏和围栏效果,但它需要大量的操作。当同步误差相当于,期间的计算可能不准确。非全周期采样的谐波分析算法可以避免由同步误差引起的光谱泄漏,并且具有很大的偏差容差。此外,它可以使谐波分析超越香农定理。但是,它只能分析整数多个频率信号。

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