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Impact of short-time fourier transform parameters on the accuracy of EMI spectra estimates in the 2-150 kHz supraharmonic interval

机译:短时傅里叶变换参数对2-150 kHz超声间隔中的EMI光谱估计准确性的影响

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摘要

Methods based on time-domain sampling and successive tapering and Fourier analysis, used in the ?harmonics? frequency interval up to 2.4 kHz, cannot be automatically extended to the 2-150 kHz interval, in particular considering the emissions of Switched-Mode Power Supplies (SMPSs) in a modern smart grid or low-voltage distribution scenario. Emissions are substantially impulsive and oscillatory superposed to the mains signal, possibly featuring multiple switching fundamentals and their harmonics with unstable or purposely changing fundamental frequency. Fourier analysis (namely Discrete Fourier Transform) is commonly used to characterize the spectrum of emissions from time-domain data, but the influence of its settings should be verified for accuracy and systematic errors, so to establish the uncertainty of spectral estimates. After an initial theoretical and practical discussion of characteristics, objectives and weak points, a verification is carried out with the help of several measurements performed in different operating conditions on a set of six different SMPSs, evaluating systematic error and uncertainty, and defining a set of recommendations.
机译:方法基于时域采样和连续逐渐逐渐变细分析,用于谐波?频率间隔高达2.4 kHz,不能自动扩展到2-150 kHz间隔,特别是考虑在现代智能电网或低压分布方案中的开关模式电源(SMPS)的排放。排放基本上是冲动的,振荡叠置在电源信号中,可能具有多种切换基本面及其具有不稳定或故意改变的基波频率的谐波。傅里叶分析(即离散傅立叶变换)通常用于表征来自时域数据的排放频谱,但应验证其设置的影响以实现精度和系统误差,从而建立光谱估计的不确定性。在特征,目标和弱点的初始理论和实践讨论之后,在不同操作条件下在一组六种不同的SMPS上进行了几次测量,评估系统误差和不确定性以及定义一组建议。

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