Spectrogram Based Window Selection For The Detection Of Voltage Variation
This paper presents the application of spectrogram with K-nearest neighbors (KNN) and Support Vector Machine (SVM) for window selection and voltage variation classification. The voltage variation signals such as voltage sag, swell and interruption are simulated in Matlab and analyzed in spectrogram...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTHM
2019
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| Online Access: | http://eprints.utem.edu.my/id/eprint/24170/2/4690-ARTICLE%20TEXT-18784-2-10-20191006.PDF http://eprints.utem.edu.my/id/eprint/24170/ https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/4690/2960 |
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