Analysis and classification of power quality events using Hilbert transform and fuzzy system

P. Sundaram, R. Neela
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引用次数: 2

Abstract

This paper presents a novel method for analysis and assessment of various power quality events using Hilbert transform based Fuzzy system. Hilbert transform analyzes the distorted kinds of voltage waveforms and then extract their important features. The various kinds of distorted voltage waveforms are developed through the Matlab parametric equation. These extracted features are given to Fuzzy system in order to classify both the single and combined form of power quality events. The results indicates that the Hilbert transform based Fuzzy system can effectively classify the single and combined form of Power Quality events. The classification accuracy of the proposed method are validated by comparing them against Kalman filter, S-transform based fuzzy classifiers.
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利用希尔伯特变换和模糊系统对电能质量事件进行分析和分类
本文提出了一种基于希尔伯特变换的模糊系统对各种电能质量事件进行分析和评估的新方法。希尔伯特变换对电压波形的畸变类型进行分析,提取畸变波形的重要特征。通过Matlab参数方程推导出各种畸变电压波形。将这些特征提取到模糊系统中,以便对电能质量事件的单一形式和组合形式进行分类。结果表明,基于Hilbert变换的模糊系统能有效地对电能质量事件的单一形式和组合形式进行分类。通过与卡尔曼滤波、基于s变换的模糊分类器进行比较,验证了该方法的分类精度。
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