Support Vector Machine for Discrimination Between Fault and Magnetizing Inrush Current in Power Transformer
V. Malathi and N. S. Marimuthu
DOI : 10.3844/jcssp.2007.894.897
Journal of Computer Science
Volume 3, Issue 11
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.
© 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.