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Data acquisition in power systems and its digital processing for measurement and automation

机译:电力系统中的数据采集及其用于测量和自动化的数字处理

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This paper presents results of comparison of magnitude spectrum estimation of periodical signals by Discrete Fourier Transform (DFT) or Fast Fourier Transform (FFT) and special Finite Impulse Response (FIR) filters, with other methods of spectrum analysis, based on DFT/FFT and sample interpolation in time domain (resampling). All of compared methods use a preliminary accurate estimation of the actual power line frequency, so that a difference between them is determined only by intermediate sample processing, which eliminates leakage-related errors appearing because of de synchronization between signal and sample frequencies. Different aspects of real time application of the proposed method are also discussed.
机译:本文介绍了通过离散傅立叶变换(DFT)或快速傅立叶变换(FFT)和特殊的有限冲激响应(FIR)滤波器以及其他基于DFT / FFT和其他频谱分析方法的周期性信号幅度谱估计的比较结果时域中的采样插值(重采样)。所有比较的方法都使用对实际电源线频率的初步准确估计,因此它们之间的差异仅由中间采样处理确定,从而消除了由于信号和采样频率之间不同步而出现的与泄漏相关的错误。还讨论了所提出方法的实时应用的不同方面。

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