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Analysis on classification of power quality disturbances using wavelet transform: article / Yasmin Ahmad Kushairi

This paper presents Discrete Wavelet Transform (DWT) as one of the method to classify power quality disturbances. This technique is using Symlets and Daubechies Wavelet family to extract the signal of the disturbance for classification process. The data which contain power quality disturbances such...

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Main Author: Ahmad Kushairi, Yasmin
Format: Article
Language:English
Published: Universiti Teknologi MARA (UiTM) 2011
Online Access:https://ir.uitm.edu.my/id/eprint/97441/1/97441.PDF
https://ir.uitm.edu.my/id/eprint/97441/
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id my.uitm.ir.97441
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spelling my.uitm.ir.974412024-06-25T09:10:35Z https://ir.uitm.edu.my/id/eprint/97441/ Analysis on classification of power quality disturbances using wavelet transform: article / Yasmin Ahmad Kushairi Ahmad Kushairi, Yasmin This paper presents Discrete Wavelet Transform (DWT) as one of the method to classify power quality disturbances. This technique is using Symlets and Daubechies Wavelet family to extract the signal of the disturbance for classification process. The data which contain power quality disturbances such as sag, transient, and notch had been analyzed to show the effectiveness of the proposed technique. The result obtained shoes that wavelet transform manage to analyze and classify the power quality disturbances. Universiti Teknologi MARA (UiTM) 2011 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/97441/1/97441.PDF Analysis on classification of power quality disturbances using wavelet transform: article / Yasmin Ahmad Kushairi. (2011) pp. 1-7.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description This paper presents Discrete Wavelet Transform (DWT) as one of the method to classify power quality disturbances. This technique is using Symlets and Daubechies Wavelet family to extract the signal of the disturbance for classification process. The data which contain power quality disturbances such as sag, transient, and notch had been analyzed to show the effectiveness of the proposed technique. The result obtained shoes that wavelet transform manage to analyze and classify the power quality disturbances.
format Article
author Ahmad Kushairi, Yasmin
spellingShingle Ahmad Kushairi, Yasmin
Analysis on classification of power quality disturbances using wavelet transform: article / Yasmin Ahmad Kushairi
author_facet Ahmad Kushairi, Yasmin
author_sort Ahmad Kushairi, Yasmin
title Analysis on classification of power quality disturbances using wavelet transform: article / Yasmin Ahmad Kushairi
title_short Analysis on classification of power quality disturbances using wavelet transform: article / Yasmin Ahmad Kushairi
title_full Analysis on classification of power quality disturbances using wavelet transform: article / Yasmin Ahmad Kushairi
title_fullStr Analysis on classification of power quality disturbances using wavelet transform: article / Yasmin Ahmad Kushairi
title_full_unstemmed Analysis on classification of power quality disturbances using wavelet transform: article / Yasmin Ahmad Kushairi
title_sort analysis on classification of power quality disturbances using wavelet transform: article / yasmin ahmad kushairi
publisher Universiti Teknologi MARA (UiTM)
publishDate 2011
url https://ir.uitm.edu.my/id/eprint/97441/1/97441.PDF
https://ir.uitm.edu.my/id/eprint/97441/
_version_ 1802981130518921216
score 13.211869

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