A review on state-of-the-art power line inspection techniques

L Yang, J Fan, Y Liu, E Li, J Peng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the fast development of smart grid, the power line mileage and power equipments get
rapid growth. The contradiction between the large number of maintenance equipments and …

Summary of insulator defect detection based on deep learning

J Liu, MM Hu, JY Dong, X Lu - Electric Power Systems Research, 2023 - Elsevier
Insulator is a kind of key electrical equipment in transmission line. Its long-term operation in
strong electric field, high temperature sunshine, mechanical stress, humidity, dirt and other …

A survey of intelligent transmission line inspection based on unmanned aerial vehicle

Y Luo, X Yu, D Yang, B Zhou - Artificial Intelligence Review, 2023 - Springer
With the development of the new generation of information technology, artificial intelligence,
cloud computing and big data are gradually becoming powerful engines of the smart grid. In …

An insulator in transmission lines recognition and fault detection model based on improved faster RCNN

W Zhao, M Xu, X Cheng, Z Zhao - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Insulators are critical electric components in transmission lines. Recognizing insulators and
detecting the faults timely and accurately is essential for maintaining the safety and stability …

IN-YOLO: Real-time detection of outdoor high voltage insulators using UAV imaging

D Sadykova, D Pernebayeva… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The high voltage insulator requires continuous monitoring and inspection to prevent failures
and emergencies. Manual inspections are costly as it requires covering a large …

Aerial computing: A new computing paradigm, applications, and challenges

QV Pham, R Ruby, F Fang, DC Nguyen… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
In existing computing systems, such as edge computing and cloud computing, several
emerging applications and practical scenarios are mostly unavailable or only partially …

Detection of transmission line insulator defects based on an improved lightweight YOLOv4 model

Z Qiu, X Zhu, C Liao, D Shi, W Qu - Applied Sciences, 2022 - mdpi.com
Defective insulators seriously threaten the safe operation of transmission lines. This paper
proposes an insulator defect detection method based on an improved YOLOv4 algorithm. An …

Key target and defect detection of high-voltage power transmission lines with deep learning

Z Liu, G Wu, W He, F Fan, X Ye - International Journal of Electrical Power & …, 2022 - Elsevier
Automatic visual detection of key targets and defects for power transmission lines based on
power transmission line inspection robots (PTLIR) and unmanned aerial vehicles (UAVs) is …

Situation awareness of energy internet of things in smart city based on digital twin: From digitization to informatization

X He, Q Ai, J Wang, F Tao, B Pan… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Rapid growth of diversity, uncertainty, and coupling effect of units in modern energy systems
jointly challenges the traditional model-based situation awareness (SA) in Energy Internet of …

Research on edge intelligent recognition method oriented to transmission line insulator fault detection

F Deng, Z **e, W Mao, B Li, Y Shan, B Wei… - International Journal of …, 2022 - Elsevier
Aiming at the problem of high delay in the existing centralized cloud insulator fault detection
methods, an insulator self-explosion fault detection scheme integrating mobile edge …