Infrared imaging of photovoltaic modules: a review of the state of the art and future challenges facing gigawatt photovoltaic power stations
C Buerhop, L Bommes, J Schlipf, T Pickel… - Progress in …, 2022 - iopscience.iop.org
Thermography is a frequently used and appreciated method to detect underperforming
Photovoltaic modules in solar power stations. With the review, we give insights on two …
Photovoltaic modules in solar power stations. With the review, we give insights on two …
[HTML][HTML] Enhancing solar plant efficiency: A review of vision-based monitoring and fault detection techniques
I Polymeropoulos, S Bezyrgiannidis, E Vrochidou… - Technologies, 2024 - mdpi.com
Over the last decades, environmental awareness has provoked scientific interest in green
energy, produced, among others, from solar sources. However, for the efficient operation …
energy, produced, among others, from solar sources. However, for the efficient operation …
An embedded solution for fault detection and diagnosis of photovoltaic modules using thermographic images and deep convolutional neural networks
A Mellit - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
In this work, an embedded system for fault detection and diagnosis of photovoltaic (PV)
modules based on infrared thermographic images and deep conventional neural networks …
modules based on infrared thermographic images and deep conventional neural networks …
Assessment of machine and deep learning approaches for fault diagnosis in photovoltaic systems using infrared thermography
Nowadays, millions of photovoltaic (PV) plants are installed around the world. Given the
widespread use of PV supply systems and in order to keep these PV plants safe and to …
widespread use of PV supply systems and in order to keep these PV plants safe and to …
A deep recurrent learning-based region-focused feature detection for enhanced target detection in multi-object media
Target detection in high-contrast, multi-object images and movies is challenging. This
difficulty results from different areas and objects/people having varying pixel distributions …
difficulty results from different areas and objects/people having varying pixel distributions …
Comparative investigation of imaging techniques, pre-processing and visual fault diagnosis using artificial intelligence models for solar photovoltaic system–A …
GB Balachandran, M Devisridhivyadharshini… - Measurement, 2024 - Elsevier
Photovoltaic systems provide an eco-friendly key to meet our increasing energy demand
while mitigating the adverse impacts of conventional fossil fuel-based energy generation …
while mitigating the adverse impacts of conventional fossil fuel-based energy generation …
Automatic fault detection of utility-scale photovoltaic solar generators applying aerial infrared thermography and orthomosaicking
As large-scale Photovoltaic (PV) power plants are being expanded in installation number
and capacity, aerial infrared thermography (aIRT) has proven to be effective in detecting at …
and capacity, aerial infrared thermography (aIRT) has proven to be effective in detecting at …
Modified U-Net based photovoltaic array extraction from complex scene in aerial infrared thermal imagery
Y Shen, T Fan, G Lai, Z Na, H Liu, Z Wang, Y Wang… - Solar Energy, 2022 - Elsevier
Hotspot detection in infrared thermal (IRT) images obtained by unmanned aerial vehicles
(UAVs) is essential for the reliability, safety and efficiency of photovoltaic (PV) plants. We …
(UAVs) is essential for the reliability, safety and efficiency of photovoltaic (PV) plants. We …
75MW AC PV module field anomaly detection using drone-based IR orthogonal images with Res-CNN3 detector
In recent years, the use of solar photovoltaic (PV) technologies for generating electricity has
gained much popularity due to their efficiency, cost-effectiveness, reliability and the need to …
gained much popularity due to their efficiency, cost-effectiveness, reliability and the need to …
Study on the Adhesion Characteristics of Dust Accumulation on Solar Photovoltaic Glass
X Liu, Q Tao, L Cui, Z Yi, J Li, L Lu - Industrial & Engineering …, 2023 - ACS Publications
The vigorous development of photovoltaic (PV) power generation technology is crucial for
addressing the high energy demand and severe environmental issues. The accumulation of …
addressing the high energy demand and severe environmental issues. The accumulation of …