Artificial intelligence based faults identification, classification, and localization techniques in transmission lines-a review

S Kanwal, S Jiriwibhakorn - IEEE Latin America Transactions, 2023 - ieeexplore.ieee.org
An overview of the many methods used for fault detection, classification and location in the
power system, particularly in transmission lines, is provided in this review, it also includes an …

[HTML][HTML] Fault detection on power transmission line based on wavelet transform and scalogram image analysis

AS Altaie, AA Majeed, M Abderrahim, A Alkhazraji - Energies, 2023 - mdpi.com
Given the massive increase in demand for electrical energy, particularly owing to global
climate change and population expansion, as well as the development of complicated …

Design and performance evaluation of SMC-based DC–DC converters for microgrid applications

Q Ullah, TDC Busarello, DI Brandao, MG Simões - Energies, 2023 - mdpi.com
In recent times, DC microgrids (MGs) have received significant attention due to
environmental concerns and the demand for clean energies. Energy storage systems …

[HTML][HTML] Signal processing application based on a hybrid wavelet transform to fault detection and identification in power system

Y Nasser Mohamed, S Seker, TC Akinci - Information, 2023 - mdpi.com
The power system is one of the most susceptible systems to failures, which are most
frequently caused by transmission line faults. Transmission line failures account for 85% of …

A Review of Signal Processing Techniques for Detection and Classification of Faults in Transmission lines

H Agarwal, RS Tiwari, JP Sharma - 2024 3rd International …, 2024 - ieeexplore.ieee.org
In a contemporary power system, the prompt and precise removal of faults occurring on high-
voltage transmission lines is of utmost importance. This research explores the categorization …

Intelligent state assessment of complex autonomous objects based on wavelet analysis

I Kotenko, I Saenko, A Vinogradenko… - Engineering Applications of …, 2023 - Elsevier
The evolutionary development of complex autonomous technical objects (CATOs), which
include bodynets, unmanned vehicles, aircraft, and other robotic systems, is characterized …

[PDF][PDF] Transmission line fault identification and classification with integrated FACTS device using multiresolution analysis and naïve bayes classifier

EE Aker, ML Othman, I Aris, NIA Wahab… - Int J Power Electron …, 2020 - academia.edu
This paper is present a novel approach for solving the pending under-reach problem
encountered by distance relay protection scheme in the 3rd zones protection coverage for a …

Current controlled robust four-switch buck-boost DC-DC converter

Q Ullah, X Wu, U Saleem - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
In the last decade, there has been a significant increase in the need for sustainable power
resources, which requires intelligent power sources to fulfill the power requirements of …

Induction of half-metallic ferromagnetism in BaS semiconductor via Cr-do**

P Mehra, HS Saini, S Sinhmar, J Thakur, MK Kashyap - Vacuum, 2020 - Elsevier
We have investigated the structural, electronic and magnetic properties of Cr-doped BaS for
do** concentrations, x= 0.06, 0.12 and 0.25, using full potential linearized augmented …

Local End Data Based Fault Detection Technique in Transmission Line Using DWT

E Priyadarshini, S Gangolu - 2020 IEEE Students Conference …, 2020 - ieeexplore.ieee.org
In this research work, a novel technique for detection of faults in high-voltage transmission
lines has been proposed based on Discrete Wavelet Transform (DWT). With the advent of …