Power transmission lines are the heart of electric power system. They are exposed to
several types of faults affecting the user's services, so it is very important to protect the power …

This paper depicts an approach with an artificial neural network (ANN) for classification and
localization of faults on the power transmission line. A huge number of transmission and …

Generally, overhead power transmission system is a set of conductors used to transfer
power from generation station to consumer side. Since the conductors are left uncovered …

Since the number of transmission line is increasing day by day to meet the increasing load
demand; occurrence of faults is also increasing. For clearance of faults their detection has to …

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 …

Faults in transmission lines have several adverse impacts on the overall health of the power
system. Circuit breakers and relays help in isolating the fault and protecting the entire …

In this study, an alternative approach based on artificial neural network (ANN) is presented
in order to determine the location of short circuit faults that may occur in a 230 kV 100 km …

Conventionally, the fault types and locations in a power grid are detected based on the
voltage and current wave forms. Fault types and locations varies slightly depending on the …

The development of an artificial neural network to analyze power system faults is currently
under way. However, the produced system is unsatisfactory because it is prone to failure …

A long transmission line was simulated to collect fault data from one end of the line, which
makes it a cost-efficient approach. Using Discrete Wavelet Transform (DWT), the essential …