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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2011
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| 在线阅读: | https://ir.uitm.edu.my/id/eprint/84606/1/84606.pdf |
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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 |
| _version_ |
1804889728814678016 |