Multi-layer perceptrons (MLPs) rank among the most popular and widely employed
intelligent approaches for approximating the relationships between dependent and …

The dependence of high-impedance faults (HIFs) detection methods on a large amount of
training data has always been a fundamental problem in electrical distribution systems. This …

This work proposes a new algorithm to classify high impedance faults (HIFs) in distribution
systems. HIFs can be represented by small current magnitudes with non-linear variations …

High impedance faults constitute one of the biggest challenges in electrical power systems.
In overhead distribution systems, faults are caused by tree branches that touch the electrical …

This paper introduces fault type identification, fault section selection, and fault phase
selectivity using a Karen Bell Transformation matrix in earthed distribution grids coupled with …

Detection of high impedance faults (HIF) is one of the biggest challenges in power
distribution networks. HIF usually occurs when conductors in the distribution network are …

Abstract High Impedance Fault (HIF) results due to non-isolation of high intensity
transmission line with that of the low intensity conductors like trees and ground etc. The …

The growing presence of monitoring systems based on phasor measurement units (PMU) in
distribution systems has strengthened the development of data-based solutions. The correct …

This letter aims at designing a convolution neural network (CNN)-based classifier that
detects and classifies 13 different types of power system events causing poor power quality …

Com o crescimento da demanda de energia, as cargas não lineares conectadas à rede
elétrica têm aumentado seu impacto no sistema elétrico e se tornado um agravante na …