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

This paper presents Wavelet Transform as one of the method to classify power quality disturbances. The objectives of conducting this project are to characterize and classify the power quality disturbances and also to study that Wavelet Transform can characterize and classify power quality disturbanc...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ahmad Kushairi, Yasmin
التنسيق: أطروحة
اللغة:English
منشور في: 2011
الوصول للمادة أونلاين:https://ir.uitm.edu.my/id/eprint/84606/1/84606.pdf
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spelling my-uitm-ir.846062024-03-20T16:24:02Z Analysis on classification of power quality disturbances using wavelet transform / Yasmin Ahmad Kushairi 2011 Ahmad Kushairi, Yasmin This paper presents Wavelet Transform as one of the method to classify power quality disturbances. The objectives of conducting this project are to characterize and classify the power quality disturbances and also to study that Wavelet Transform can characterize and classify power quality disturbances. This technique is using Symlets and Daubechies Wavelet family to extract the signal of the disturbance for classification process. The types of disturbance that is being analyzed in this project are transients and voltage sags. The data which contain power quality disturbances has been analyzed to show the effectiveness of the proposed technique. The proposed technique involves Discrete Wavelet Transform (DWT) analysis and the process of multilevel decomposition and reconstruction at level 3. The result obtained shows that wavelet transform manage to characterize and classify the power quality disturbances and have the accuracy of 87.5% in characterizing and classifying power quality disturbances. 2011 Thesis https://ir.uitm.edu.my/id/eprint/84606/ https://ir.uitm.edu.my/id/eprint/84606/1/84606.pdf text en public degree Universiti Teknologi MARA, Shah Alam Faculty of Electrical Engineering Hamzah, Noraliza
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Hamzah, Noraliza
description This paper presents Wavelet Transform as one of the method to classify power quality disturbances. The objectives of conducting this project are to characterize and classify the power quality disturbances and also to study that Wavelet Transform can characterize and classify power quality disturbances. This technique is using Symlets and Daubechies Wavelet family to extract the signal of the disturbance for classification process. The types of disturbance that is being analyzed in this project are transients and voltage sags. The data which contain power quality disturbances has been analyzed to show the effectiveness of the proposed technique. The proposed technique involves Discrete Wavelet Transform (DWT) analysis and the process of multilevel decomposition and reconstruction at level 3. The result obtained shows that wavelet transform manage to characterize and classify the power quality disturbances and have the accuracy of 87.5% in characterizing and classifying power quality disturbances.
format Thesis
qualification_level Bachelor degree
author Ahmad Kushairi, Yasmin
spellingShingle Ahmad Kushairi, Yasmin
Analysis on classification of power quality disturbances using wavelet transform / Yasmin Ahmad Kushairi
author_facet Ahmad Kushairi, Yasmin
author_sort Ahmad Kushairi, Yasmin
title Analysis on classification of power quality disturbances using wavelet transform / Yasmin Ahmad Kushairi
title_short Analysis on classification of power quality disturbances using wavelet transform / Yasmin Ahmad Kushairi
title_full Analysis on classification of power quality disturbances using wavelet transform / Yasmin Ahmad Kushairi
title_fullStr Analysis on classification of power quality disturbances using wavelet transform / Yasmin Ahmad Kushairi
title_full_unstemmed Analysis on classification of power quality disturbances using wavelet transform / Yasmin Ahmad Kushairi
title_sort analysis on classification of power quality disturbances using wavelet transform / yasmin ahmad kushairi
granting_institution Universiti Teknologi MARA, Shah Alam
granting_department Faculty of Electrical Engineering
publishDate 2011
url https://ir.uitm.edu.my/id/eprint/84606/1/84606.pdf
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