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 …
Real-time sensing and fault diagnosis for transmission lines
Protection of high voltage transmission lines is one of the crucial problems in the power
system engineering. Accurate and timely detection and identification of transmission line …
system engineering. Accurate and timely detection and identification of transmission line …
A robust mean-field actor-critic reinforcement learning against adversarial perturbations on agent states
Multiagent deep reinforcement learning (DRL) makes optimal decisions dependent on
system states observed by agents, but any uncertainty on the observations may mislead …
system states observed by agents, but any uncertainty on the observations may mislead …
[HTML][HTML] Ensemble Pretrained Convolutional Neural Networks for the Classification of Insulator Surface Conditions
Overhead transmission line insulators are non-conductive materials that separate
conductors from grounded transmission towers. Once in operation, they frequently …
conductors from grounded transmission towers. Once in operation, they frequently …
Insulator Defect Recognition Based on Vision Big‐Model Transfer Learning and Stochastic Configuration Network
S Liu, Y Ma, Z Zheng, X Pang, B Li - IET Signal Processing, 2024 - Wiley Online Library
Insulator faults are an important factor in causing outages and accidents in power
transmission lines. In response to problems related to inefficient insulator positioning, limited …
transmission lines. In response to problems related to inefficient insulator positioning, limited …
Performing effective generative learning from a single image only
Q Xu, J Chen, J Tang, Q Kang… - 2023 32nd Wireless and …, 2023 - ieeexplore.ieee.org
Generative adversarial networks (GANs) can be well used for image generation. Yet their
training typically requires large amounts of data, which may not be available. This paper …
training typically requires large amounts of data, which may not be available. This paper …
Insulator Condition Classification, Defect Detection, and Segmentation using Yolov8 Deep-Learning Model
S Panigrahy, R Sahoo… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This study proposes a single-stage deep learning model capable of condition classification,
defect detection, and segmentation for high-voltage insulator inspection. Leveraging the …
defect detection, and segmentation for high-voltage insulator inspection. Leveraging the …
An LSTM-based Anomaly Classification Framework for Power Electronics Dominated Grids
M Baker, MB Shadmand - 2023 IEEE Power and Energy …, 2023 - ieeexplore.ieee.org
The power electronics dominated grid (PEDG) is a paradigm shift which will see an increase
of distributed energy resources (DERs) for power generation. As the PEDG becomes …
of distributed energy resources (DERs) for power generation. As the PEDG becomes …
An AI-Based Real-time Intrusion Detection System for Power Electronics-Dominated Grid: Attack on Inverters PQ Set-Points
A Zadehgol-Mohammadi, M Baker… - 2023 IEEE Energy …, 2023 - ieeexplore.ieee.org
This work presents a long short-term memory (LSTM) neural network based method for real-
time detection of intruded power setpoints of grid-following inverters (GFLIs) in power …
time detection of intruded power setpoints of grid-following inverters (GFLIs) in power …
Surface Defect Detection of Outdoor Insulators in Low-Light Environments
S Panigrahy, S Karmakar - 2024 IEEE Region 10 Symposium …, 2024 - ieeexplore.ieee.org
Outdoor insulators are crucial for maintaining reliable power transmission and distribution.
However, inspecting these vital components under low-light conditions is essential to ensure …
However, inspecting these vital components under low-light conditions is essential to ensure …