[HTML][HTML] Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV

BJ Souza, SF Stefenon, G Singh, RZ Freire - International Journal of …, 2023 - Elsevier
Transmission power lines are essential to supply electrical energy to consumption centers.
Keeping a reliable transmission system requires the early identification of faults. Image …

Application of image sensors to detect and locate electrical discharges: a review

JR Riba - Sensors, 2022 - mdpi.com
Today, there are many attempts to introduce the Internet of Things (IoT) in high-voltage
systems, where partial discharges are a focus of concern since they degrade the insulation …

Deep learning in high voltage engineering: A literature review

S Mantach, A Lutfi, H Moradi Tavasani, A Ashraf… - Energies, 2022 - mdpi.com
Condition monitoring of high voltage apparatus is of much importance for the maintenance
of electric power systems. Whether it is detecting faults or partial discharges that take place …

A new convolutional neural network-based system for NILM applications

F Ciancetta, G Bucci, E Fiorucci, S Mari… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Electrical load planning and demand response programs are often based on the analysis of
individual load-level measurements obtained from houses or buildings. The identification of …

Object detection recognition and robot grasping based on machine learning: A survey

Q Bai, S Li, J Yang, Q Song, Z Li, X Zhang - IEEE access, 2020 - ieeexplore.ieee.org
With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …

Semi-ProtoPNet deep neural network for the classification of defective power grid distribution structures

SF Stefenon, G Singh, KC Yow, A Cimatti - Sensors, 2022 - mdpi.com
Power distribution grids are typically installed outdoors and are exposed to environmental
conditions. When contamination accumulates in the structures of the network, there may be …

InsuDet: A fault detection method for insulators of overhead transmission lines using convolutional neural networks

X Zhang, Y Zhang, J Liu, C Zhang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
One of the key tasks of the overhead line power equipment inspection based on aerial
images acquired by unmanned aerial vehicles is to determine whether the insulators are …

Classification of insulators using neural network based on computer vision

SF Stefenon, MP Corso, A Nied… - IET Generation …, 2022 - Wiley Online Library
Insulators of the electrical power grid are usually installed outdoors, so they suffer from
environmental stresses, such as the presence of contamination. Contamination can increase …

Classification of distribution power grid structures using inception v3 deep neural network

SF Stefenon, KC Yow, A Nied, LH Meyer - Electrical Engineering, 2022 - Springer
To maintain the supply of electrical energy, it is necessary that failures in the distribution grid
are identified during inspections of the electrical power system before shutdowns occur. To …

Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision

MP Corso, FL Perez, SF Stefenon, KC Yow… - Computers, 2021 - mdpi.com
Contamination on insulators may increase the surface conductivity of the insulator, and as a
consequence, electrical discharges occur more frequently, which can lead to interruptions in …