Otro
Fault identification in distribution lines using intelligent systems and statistical methods
Registro en:
Proceedings of the Mediterranean Electrotechnical Conference - MELECON, v. 2006, p. 1122-1125.
10.1109/MELCON.2006.1653297
2-s2.0-34047139584
Autor
Ziolkowski, Valmir
Da Silva, Ivan Nunes
Flauzino, Rogerio
Ulson, Jose Alfredo Covolan
Resumen
The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process of faults in electric power distribution systems. The developed techniques to treat the proposed problem have used, in an integrated way, several approaches that can contribute to the successful detection process of faults, aiming that it is carried out in a reliable and safe way. The compilations of the results obtained from practical experiments accomplished in a pilot distribution feeder have demonstrated that the developed techniques provide accurate results, identifying and classifying efficiently the several occurrences of faults observed in the feeder. © 2006 IEEE.