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 …
power system, particularly in transmission lines, is provided in this review, it also includes an …
Fault detection on power transmission line based on wavelet transform and scalogram image analysis
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 …
climate change and population expansion, as well as the development of complicated …
Signal processing application based on a hybrid wavelet transform to fault detection and identification in power system
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 …
frequently caused by transmission line faults. Transmission line failures account for 85% of …
Design and performance evaluation of SMC-based DC–DC converters for microgrid applications
In recent times, DC microgrids (MGs) have received significant attention due to
environmental concerns and the demand for clean energies. Energy storage systems …
environmental concerns and the demand for clean energies. Energy storage systems …
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 …
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
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 …
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 …
resources, which requires intelligent power sources to fulfill the power requirements of …
A Review of Signal Processing Techniques for Detection and Classification of Faults in Transmission lines
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 …
voltage transmission lines is of utmost importance. This research explores the categorization …
Predictive Control Strategy for Four-switch Buck-Boost Converter with Mode Smooth Transition
E Cao, W Ding, B Duan, J Song, C Zhan… - 2022 6th CAA …, 2022 - ieeexplore.ieee.org
Four-switch buck-boost converter (FSBB) has received extensive attention in the fields of
power battery test and energy storage because of its bidirectional buck and boost …
power battery test and energy storage because of its bidirectional buck and boost …
Wide Area Power System Network Protection using Wavelet-Machine Learning Approach
RK Goli, SK Pappula, K Sankabathula… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Power system networks are evolving quickly, which emphasizes how important it is to have
reliable and effective protection measures. Using machine learning approaches, this work …
reliable and effective protection measures. Using machine learning approaches, this work …