Due to various faults occur to transmission lines
and because it was necessary to find and recover these faults
quickly as possible. This paper discussing fault detection,
classification and determining fault location as fast as possible
via Artificial Neural Network (ANN) algorithm. The software
used for modeling the proposed network is a
MATLAB/SIMULINK software environment. The training,
testing and evaluation of the intelligent locator processes are
done based on a multilayer Perceptron feed forward neural
network with back propagation algorithm. Mean Square Error
(MSE) algorithm is used to evaluate the performance of the
detector/classifier as well as fault locator. The results show that
the validation performance (MSE) for the fault
detector/classifier is 2.36e-9 and for fault locator is 2.179e-5.
The system can detect if there is a fault or not, can classify the
fault type and determine the fault location very precisely.