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Power quality harmonic detection based on Fast-ICA

机译:基于Fast-ICA的电能质量谐波检测

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摘要

The main methods of power quality's harmonics detection are based on instantaneous reactive power theory, FFT and wavelet transform. A method of detecting power quality's harmonics based on ICA is proposed. First, independent component analysis method is introduced briefly, then using the Fast - ICA algorithm and negative entropy great independence standards to implement the estimations of harmonics signal, obtain base wave signal and every harmonic signal. The simulation results show that this method can accurately detect every harmonic composition of the multiple harmonics and it is not sensitive to noise. So it is suitable to the detection of power quality's harmonics.
机译:电能质量谐波检测的主要方法是基于瞬时无功功率理论,FFT和小波变换的。提出了一种基于ICA的电能质量谐波检测方法。首先简要介绍了独立分量分析方法,然后使用Fast-ICA算法和负熵大独立标准对谐波信号进行估计,获得基波信号和每个谐波信号。仿真结果表明,该方法可以准确地检测出多个谐波的每个谐波成分,并且对噪声不敏感。因此适用于电能质量谐波的检测。

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