Quick removal of the short circuit faults in a power transmission and distribution system
solely depends on an accurate characterization of them. Characterization of short circuit fault …

A novel self attention convolutional neural network (SAT-CNN) model is presented in this
paper for fault detection and classification (FDC) of high voltage transmission line that …

Early fault detection and adjustment are critical in power systems for efficient and cost-
effective power transmission and distribution, as well as their viability as available …

Accurate and fast detection of fault is important for reliable protection of power systems. This
paper presents an intelligent Transmission Line protection system, which can detect faults …

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 …

As technology advanced, electrical interruption or disturbance still becomes a significant
problem in power systems. A fault is one example of electrical disturbance or power failure …

Detection and classification of transmission line (TL) faults are key factors for the fault root
cause analysis and rapid restoration of the power network. Deep learning can extract …

This paper proposes a K-nearest neighbour (KNN) based protection approach for fault
detection and classification for a shunt compensated three-phase transmission line …

The stable operation of a power system often depends on inscribing the faults that may arise
when transmitting and distributing electrical power. Characterizing these faults is necessary …

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 …