Fault analysis and diagnosis constitute a relevant problem in power systems, with important
economic impacts for operators, maintenance agents and the power industry in general …

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 presents a semisupervised machine learning approach based on co-training of
two classifiers for fault classification in both the transmission and the distribution systems …

To provide stability and a continuous supply of power, the detection and classification of
faults in the transmission lines (TLs) are crucial in this modern age. It is required to remove a …

This paper presents a novel approach for detecting, classifying and locating short-circuit
faults in power transmission lines. Based on the proposed approach, a hybrid framework …

Accurate and rapid identification of distribution system fault causes is essential for power
system reliability enhancement. Manual fault cause identification requires extensive human …

The paper investigates the application of machine learning (ML) for voltage sag source
localization (VSSL) in electrical power systems. To overcome feature-selection challenges …

Fast and precise fault categorization, location estimate, and fault detection are crucial
because persistent faults can interrupt the power supply. The power outage zone will extend …

The maintenance of power quality in electrical power systems depends on addressing the
major disturbances that may arise during generation, transmission and distribution. Many …

In this study, two approaches are presented to detect short-circuit faults in power
transmission lines. The two proposed methods are completely novel from both theoretical …