Application of machine learning methods in fault detection and classification of power transmission lines: a survey
The rising development of power systems and smart grids calls for advanced fault diagnosis
techniques to prevent undesired interruptions and expenses. One of the most important part …
techniques to prevent undesired interruptions and expenses. One of the most important part …
[HTML][HTML] Artificial intelligence techniques for ground fault line selection in power systems: State-of-the-art and research challenges
F Wang, Z Zhang, K Wu, D Jian, Q Chen… - Mathematical …, 2023 - aimspress.com
In modern power systems, efficient ground fault line selection is crucial for maintaining
stability and reliability within distribution networks, especially given the increasing demand …
stability and reliability within distribution networks, especially given the increasing demand …
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 …
2D-convolutional neural network based fault detection and classification of transmission lines using scalogram images
P Nayak, SR Das, RK Mallick, S Mishra, A Althobaiti… - Heliyon, 2024 - cell.com
The reliable operation of power transmission systems is essential for maintaining the
stability and efficiency of the electrical grid. Rapid and accurate detection of faults in …
stability and efficiency of the electrical grid. Rapid and accurate detection of faults in …
An adaptive distance protection scheme considering fault resistance, injected current, and structural changes in the power system
M Mohtashami, AS Noghabi - IET Generation, Transmission & …, 2024 - Wiley Online Library
Faults in power systems occur for various reasons, such as aging or natural disasters.
Detecting, locating, and promptly clearing these faults is crucial for maintaining the safety …
Detecting, locating, and promptly clearing these faults is crucial for maintaining the safety …
An algorithm for distance protection based on the change of the voltage phase angle
MM Ostojić, ZN Stojanović - Electric Power Systems Research, 2023 - Elsevier
Conventional distance protection methods usually require additional filtering of the input
signals to remove the influence of the DC component and the distortion of sinusoidal …
signals to remove the influence of the DC component and the distortion of sinusoidal …
Transmission line protection using high-speed decision tree and artificial neural network: A hardware co-simulation approach
AA Fayyad, AF Abdel-Gawad, AM Alenany… - Electric Power …, 2022 - Taylor & Francis
In this paper, a protection scheme of 500 kV, 50 Hz, and 220 km double end transmission
system based on wavelet transform (WT), high-speed decision tree (DT), and artificial neural …
system based on wavelet transform (WT), high-speed decision tree (DT), and artificial neural …
Complex faults categorization technique for series-compensated transmission lines connected with wind-turbines based on DFWHT
The usual transmission line fault detection schemes are incapable to detect/categorize the
near-end relay faults (NERFs), far-end relay faults (FERFs), evolving faults (EFs), high …
near-end relay faults (NERFs), far-end relay faults (FERFs), evolving faults (EFs), high …
Fault detection and classification in transmission lines using boosted decision tree
RR Prusty, RK Mallick, P Nayak… - … Conference in Advances …, 2023 - ieeexplore.ieee.org
Fault detection and classification in transmission lines is a crucial task for engineers to
maintain reliability and safe operation of electrical power systems. This article proposes a …
maintain reliability and safe operation of electrical power systems. This article proposes a …
Artificial neural networks and their applications to intelligent fault diagnosis of power transmission lines
FM Shakiba - 2022 - search.proquest.com
Over the past thirty years, the idea of computing based on models inspired by human brains
and biological neural networks emerged. Artificial neural networks play an important role in …
and biological neural networks emerged. Artificial neural networks play an important role in …