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A method based on independent component analysis for single and multiple power quality disturbance classification

机译:基于独立分量分析的单次和多次电能质量扰动分类方法

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摘要

This paper proposes a method based on single channel independent component analysis for single and multiple power quality disturbance classification. The proposed method decouples the power system signal into its independent components, which are classified by specialized classifiers. The classifier outputs are combined by using a logic that gives the final classification. Five classes of single disturbances and twelve of multiple disturbances are considered and a classification efficiency above 97% is achieved for each event class. Both qualitative and quantitative analysis elucidate the efficiency of the proposed method. Results are obtained from both simulated and experimental signals.
机译:提出了一种基于单通道独立分量分析的电能质量扰动分类方法。所提出的方法将电力系统信号解耦为独立的分量,这些分量由专门的分类器分类。分类器输出通过使用给出最终分类的逻辑进行组合。考虑了五种单干扰和十二种多干扰,每个事件类别的分类效率均达到97%以上。定性和定量分析都阐明了该方法的有效性。结果是从模拟和实验信号中获得的。

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