Faults location in transmission lines through neural networks

This work studies the viability of the application of computational techniques, more specifically the artificial neural networks (ANN), in the identification and location of faults in transmission lines using voltages and currents signals registered by numeric relays in one of the terminals of a transmission line. One model of ANN was used in the fault identification and other four were used on the fault location, being one for each type: single-phase, two-phase, two-phase-earth and three-phase.