Unique localization of faults in distribution systems by means of zones with SVM
This paper presents a new methodology for localizing faults in distribution systems by means of an artificial intelligence technique –Support Vector Machine– (SVM). This methodology divides the electrical system into different zones order to pinpoint the region where the fault exists with accuracy....
Main Authors: | Germán Morales-España, Hermann Raúl Vargas-Torres, René Barrera-Cárdenas |
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Format: | Article |
Language: | English |
Published: |
Universidad de Antioquia
2013-12-01
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Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
Subjects: | |
Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/17765 |
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