The harmonic detection based on wavelet transform and FFT for electric ARC furnaces

Xiao-Mei Ye, Xiao-he Liu
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引用次数: 22

Abstract

The paper presents a harmonic detection method based on wavelet transform and FFT for electric arc furnaces system. The method not only overcomes the drawbacks of conventional Fourier transform, analyzing transient, non-stationary or time-varying event invalidated, but also avoids the disadvantages that only use wavelet transform can not obtain the precise value at a particular harmonic frequency. Simulation results of MATLAB have proved that the given method is reasonable valid.
基于小波变换和FFT的电弧炉谐波检测
提出了一种基于小波变换和FFT的电弧炉谐波检测方法。该方法不仅克服了传统傅里叶变换对瞬态、非平稳或时变事件分析无效的缺点,而且避免了仅使用小波变换无法获得特定谐波频率下的精确值的缺点。MATLAB仿真结果证明了该方法的合理性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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