Trabalho apresentado em evento
Application of neural networks to identify features of dynamical grounding systems
Fecha
2001-01-01Registro en:
Ijcnn'01: International Joint Conference on Neural Networks, Vols 1-4, Proceedings. New York: IEEE, p. 2093-2097, 2001.
1098-7576
10.1109/IJCNN.2001.938489
WOS:000172784800372
8212775960494686
4517057121462258
Autor
Universidade Estadual Paulista (Unesp)
Resumen
The accurate identification of features of dynamical grounding systems are extremely important to define the operational safety and proper functioning of electric power systems. Several experimental tests and theoretical investigations have been carried out to obtain characteristics and parameters associated with the technique of grounding. The grounding system involves a lot of non-linear parameters. This paper describes a novel approach for mapping characteristics of dynamical grounding systems using artificial neural networks. The network acts as identifier of structural features of the grounding processes. So that output parameters can be estimated and generalized from an input parameter set. The results obtained by the network are compared with other approaches also used to model grounding systems.