de Souza, A. N.da Silva, I. N.Ulson, Jose Alfredo Covolan [UNESP]2014-05-202014-05-202001-01-01Ijcnn'01: International Joint Conference on Neural Networks, Vols 1-4, Proceedings. New York: IEEE, p. 2093-2097, 2001.1098-7576http://hdl.handle.net/11449/8898The 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.2093-2097engTrabalho apresentado em evento10.1109/IJCNN.2001.938489WOS:000172784800372Acesso aberto82127759604946864517057121462258