FAULT IDENTIFICATION AND CLASSIFICATION FOR SHORT MEDIUM VOLTAGE UNDERGROUND CABLE BASED ON ARTIFICIAL NEURAL NETWORKS

Marouf Pirouti - Amin A. Fatih - Ibrahim B. Sadik

   This paper presents a fault identification and classification method based on Artificial Neural Networks for medium voltage radial underground cable of Erbil distribution system. It presents the use of Neural Networks as a pattern classifier to perform tasks of different fault identification and classification. The proposed scheme is insensitive to variation of different parameters such as fault type, fault resistance, fault inception angle and load of system. Result show that the proposed technique is able to offer high accuracy in fault classification tasks.

Keywords: artificial neural networks, underground cable, fault classification

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