Newer generation sources and loads are posing new challenges to the conventional power
system protection schemes. Adaptive and intelligent protection methodology, based on …

Timely and accurate detection of transmission line faults is one of the most important issues
in the reliability of the power systems. In this paper, in order to assess the effects of …

The permanency of highly-reliable power supply is a core trait of an electric power
transmission network. A transmission line is the main part of this network through which …

In electrical grids, fault diagnosis (fault type and fault location classifications) are critical due
to their economic and important implications. Numerous smart grid applications have …

This paper presents a novel approach for fault location and classification based on
combining mathematical morphology (MM) with Random Forests (RF). The MM stage of the …

Fault detection and protection of Superconducting Cables (SCs) is considered a challenging
task due to the effects of the quenching phenomenon of High Temperature Superconducting …

This paper presents a new method for fault classification and location based on the Discrete
Wavelet Transform decomposition and signal reconstruction-a type of Multi-Resolution …

A novel method for fault classification and location is presented in this paper. This method is
divided into an initial signal processing stage that is followed by a machine learning stage …

This paper provides a comprehensive and systematic review of fault diagnosis methods
based on artificial intelligence (AI) in smart distribution networks described in the literature …

The power distribution system's fault root cause classification is an important but challenging
problem. Traditional classifiers fail to achieve high accuracy and good generalization …