A feedforward Artificial Neural Network approach to fault classification and location on a 132kV transmission line using current signals only

@article{Lout2012AFA,
  title={A feedforward Artificial Neural Network approach to fault classification and location on a 132kV transmission line using current signals only},
  author={Kapildev Lout and Raj K. Aggarwal},
  journal={2012 47th International Universities Power Engineering Conference (UPEC)},
  year={2012},
  pages={1-6}
}
Transmission lines represent a major part of an electrical power system network but due to their long lengths and direct exposure to climate conditions, they are more prone to faults as compared to other power system components. The aim of this paper is to develop fast, reliable and accurate fault classification and location algorithms that can efficiently locate faults on transmission lines and thus reduce outage time. The algorithms have been implemented using feedforward Artificial Neural… CONTINUE READING

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