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: | |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknologi MARA (UiTM)
2011
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| 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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| Summary: | 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. |
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