Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning

R Jenssen, D Roverso - International Journal of Electrical Power & …, 2018 - Elsevier
To maintain the reliability, availability, and sustainability of electricity supply, electricity
companies regularly perform visual inspections on their transmission and distribution …

[HTML][HTML] Remote sensing methods for power line corridor surveys

L Matikainen, M Lehtomäki, E Ahokas, J Hyyppä… - ISPRS Journal of …, 2016 - Elsevier
To secure uninterrupted distribution of electricity, effective monitoring and maintenance of
power lines are needed. This literature review article aims to give a wide overview of the …

Automated extraction of energy systems information from remotely sensed data: A review and analysis

S Ren, W Hu, K Bradbury, D Harrison-Atlas, LM Valeri… - Applied Energy, 2022 - Elsevier
High quality energy systems information is a crucial input to energy systems research,
modeling, and decision-making. Unfortunately, actionable information about energy systems …

Data analysis in visual power line inspection: An in-depth review of deep learning for component detection and fault diagnosis

X Liu, X Miao, H Jiang, J Chen - Annual Reviews in Control, 2020 - Elsevier
The widespread popularity of unmanned aerial vehicles enables an immense amount of
power line inspection data to be collected. It is an urgent issue to employ massive data …

Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology

X Liu, X Miao, H Jiang, J Chen - arXiv preprint arXiv:2003.09802, 2020 - arxiv.org
The widespread popularity of unmanned aerial vehicles enables an immense amount of
power lines inspection data to be collected. How to employ massive inspection data …

[HTML][HTML] Integration of drone and machine learning technology for predicting power infrastructure faults efficiently

WT Alshaibani, I Shayea, R Caglar, T Babaqi - Results in Engineering, 2024 - Elsevier
Power transmission and distribution networks frequently face issues, especially in harsh
environments, leading to high maintenance costs and the need for uninterrupted electricity …

The future application of transmission line automatic monitoring and deep learning technology based on vision

D Li, X Wang - 2019 IEEE 4th international conference on cloud …, 2019 - ieeexplore.ieee.org
In order to ensure reliable and sustainable power transmission, the State Grid Corporation
regularly monitors transmission lines and distribution grids, mainly by means of walking …

Power Transmission Line Inspections: Methods, Challenges, Current Status and Usage of Unmanned Aerial Systems

F Ahmed, JC Mohanta, A Keshari - Journal of Intelligent & Robotic Systems, 2024 - Springer
Condition monitoring of power transmission lines is an essential aspect of improving
transmission efficiency and ensuring an uninterrupted power supply. Wherein, efficient …

A Transfer Learning Architecture to Detect Faulty Insulators in Powerlines

N Jain, J Bedi, A Anand… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Regular inspection and monitoring of various critical equipment (porcelain insulators
including pins or discs) available on power grid lines is required for several reasons, such …

基于组合式目标检测框架的低漏报率缺陷识别方法

罗鹏, 王波, 马恒瑞, 马富齐, 王红霞, 朱丹蕾 - 高电压技术, 2021 - epjournal.csee.org.cn
针对输电线路机巡影像缺陷识别中低漏报率的需求, 提出了一种基于组合式深度目标检测框架的
输电线路低漏报率缺陷识别方法. 该方法首先利用典型目标检测算法在输电线路巡检图像数据集 …