Artificial Neural Network Techniques apply for Fault detecting and Locating in Overhead Power Transmission Line

The study carried out here in this paper presents the application of artificial intelligence techniques to detect, classify and locate faults on power transmission line very high voltage. This paper compares the results of the techniques call Multi- Layers Perceptron (MLP) and Concurrent Neuro-Fuzzy used to detect, classify and locate the faults on two different very high voltage electrical lines of 735 kV line voltage, 600 km long for the first line and a second line of 400 kV, 120 km long. The advantages of these techniques used are that they permit to increase the level of reliability of a power line, to limit the lost time in the search for the defects when they occur and then to favorize a continuity of service so much sought by companies sign of economic prosperity.