[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 …
Contamination level monitoring techniques for high-voltage insulators: a review
Insulators are considered one of the most significant parts of power systems which can affect
the overall performance of high-voltage (HV) transmission lines and substations. High …
the overall performance of high-voltage (HV) transmission lines and substations. High …
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 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 …
Evaluation of visible contamination on power grid insulators using convolutional neural networks
The contamination of insulators increases their surface conductivity, resulting in a higher
chance of shutdowns occurring. To measure contamination, equivalent salt deposit density …
chance of shutdowns occurring. To measure contamination, equivalent salt deposit density …
Optimized hybrid YOLOu‐Quasi‐ProtoPNet for insulators classification
SF Stefenon, G Singh, BJ Souza… - IET Generation …, 2023 - Wiley Online Library
To ensure the electrical power supply, inspections are frequently performed in the power
grid. Nowadays, several inspections are conducted considering the use of aerial images …
grid. Nowadays, several inspections are conducted considering the use of aerial images …
A comprehensive review on applications of Raspberry Pi
Raspberry Pi is an invaluable and popular prototyping tool in scientific research for
experimenting with a wide variety of ideas, ranging from simple to complex projects. This …
experimenting with a wide variety of ideas, ranging from simple to complex projects. This …
A lightweight and robust drone MHz WPT system via novel coil design and impedance matching
This article proposes a comprehensive approach to address the challenges posed by the
simultaneously varying dc load and coil coupling in drone wireless charging, which …
simultaneously varying dc load and coil coupling in drone wireless charging, which …
PEDNet: A lightweight detection network of power equipment in infrared image based on YOLOv4-Tiny
J Li, Y Xu, K Nie, B Cao, S Zuo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a promising and noncontact detection technique, machine vision has been widely used
in fault diagnosis of substation equipment. The rapid and accurate detection of substation …
in fault diagnosis of substation equipment. The rapid and accurate detection of substation …
[HTML][HTML] Insulator detection and damage identification based on improved lightweight YOLOv4 network
G Han, M He, F Zhao, Z Xu, M Zhang, L Qin - Energy Reports, 2021 - Elsevier
Aiming at the problem that the detection and damage recognition algorithm of insulator
aerial images is difficult to be applied to the embedded platform, this paper proposed an …
aerial images is difficult to be applied to the embedded platform, this paper proposed an …