[HTML][HTML] Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV
Transmission power lines are essential to supply electrical energy to consumption centers.
Keeping a reliable transmission system requires the early identification of faults. Image …
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 …
systems, where partial discharges are a focus of concern since they degrade the insulation …
Deep learning in high voltage engineering: A literature review
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 …
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 …
individual load-level measurements obtained from houses or buildings. The identification of …
Object detection recognition and robot grasping based on machine learning: A survey
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 …
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
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 …
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 …
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 …
environmental stresses, such as the presence of contamination. Contamination can increase …
Classification of distribution power grid structures using inception v3 deep neural network
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 …
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
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 …
consequence, electrical discharges occur more frequently, which can lead to interruptions in …