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Research Article Open Access

Support Vector Machine for Discrimination Between Fault and Magnetizing Inrush Current in Power Transformer

V. Malathi and N. S. Marimuthu

Abstract

This study presents a novel technique based on Support Vector Machine (SVM) for the classification of transient phenomena in power transformer. The SVM is a powerful method for statistical classification of data. The input data to this SVM for training comprises fault current and magnetizing inrush current. SVM classifier produces significant accuracy for classification of transient phenomena in power transformer.

Journal of Computer Science
Volume 3 No. 11, 2007, 894-897

DOI: https://doi.org/10.3844/jcssp.2007.894.897

Submitted On: 12 December 2007 Published On: 30 November 2007

How to Cite: Malathi, V. & Marimuthu, N. S. (2007). Support Vector Machine for Discrimination Between Fault and Magnetizing Inrush Current in Power Transformer. Journal of Computer Science, 3(11), 894-897. https://doi.org/10.3844/jcssp.2007.894.897

Open AccessCopyright: © 2007 V. Malathi and N. S. Marimuthu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Power transformer
  • magnetizing inrush current
  • fault current
  • support vector machine