Power Quality Disturbance Classification Method Based on Wavelet Transform and SVM Multi-class Algorithms
نویسندگان
چکیده
منابع مشابه
Power Quality Disturbance Classification Method Based on Wavelet Transform and SVM Multi-class Algorithms
The accurate identification and classification of various power quality disturbances are keys to ensuring high-quality electrical energy. In this study, the statistical characteristics of the disturbance signal of wavelet transform coefficients and wavelet transform energy distribution constitute feature vectors. These vectors are then trained and tested using SVM multi-class algorithms. Experi...
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This paper demonstrates classification of PQ events utilizing wavelet transform (WT) energy features by artificial neural network (ANN) and SVM classifiers. The proposed scheme utilizes wavelet based feature extraction to be used for the artificial neural networks in the classification. Six different PQ events are considered in this study. Three types of neural network classifiers such as feed ...
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در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...
15 صفحه اولPower quality disturbance classification using Hilbert transform and RBF networks
This paper presents the application of Hilbert transform and artificial neural network (ANN) for power quality (PQ) disturbance classification. The input features of the ANN are extracted from the envelope of the disturbance signals by applying Hilbert transform (HT). The features obtained from the Hilbert transform are distinct, understandable and immune to noise. These features after normaliz...
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Electric power quality is an aspect of power engineering that has been with us since the inception of power systems. To investigate this issue, engineers have proposed various schemes to deal with the power disturbance waveforms. Among these approaches, wavelet transform is one of the most frequently used algorithms to analyze the power signal. This paper presents a new design of discrete wavel...
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ژورنال
عنوان ژورنال: Energy and Power Engineering
سال: 2013
ISSN: 1949-243X,1947-3818
DOI: 10.4236/epe.2013.54b107