Inspection and condition monitoring of large-scale photovoltaic power plants: A review of imaging technologies

I Høiaas, K Grujic, AG Imenes, I Burud, E Olsen… - … and Sustainable Energy …, 2022 - Elsevier
The massive growth of PV farms, both in number and size, has motivated new approaches in
inspection system design and monitoring. This paper presents a review of imaging …

Infrared thermography-based condition monitoring of solar photovoltaic systems: A mini review of recent advances

AW Kandeal, MR Elkadeem, AK Thakur, GB Abdelaziz… - Solar Energy, 2021 - Elsevier
Globally, solar photovoltaic (PV) plants have been in continuous increase, attracting
researchers and governments' interest, and PV markets witness high competition. That …

An efficient fault classification method in solar photovoltaic modules using transfer learning and multi-scale convolutional neural network

D Korkmaz, H Acikgoz - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Photovoltaic (PV) power generation is one of the remarkable energy types to provide clean
and sustainable energy. Therefore, rapid fault detection and classification of PV modules …

Automatic detection, classification and localization of defects in large photovoltaic plants using unmanned aerial vehicles (UAV) based infrared (IR) and RGB imaging

CFJ Kuo, SH Chen, CY Huang - Energy Conversion and Management, 2023 - Elsevier
This study aims to build a photovoltaic (PV) plant maintenance and operation system, using
an unmanned aerial vehicle (UAV) carrying a thermal imager to take images. In the …

[HTML][HTML] Develo** a deep learning-based layer-3 solution for thermal infrared large-scale photovoltaic module inspection from orthorectified big UAV imagery data

Y Zefri, I Sebari, H Hajji, G Aniba - … Journal of Applied Earth Observation and …, 2022 - Elsevier
The increasing adoption of photovoltaic (PV) technology highlights the need for efficient and
large-scale deployment-ready inspection solutions. In the thermal infrared imagery-based …

Fault detection and diagnosis in photovoltaic panels by radiometric sensors embedded in unmanned aerial vehicles

I Segovia Ramirez, B Das… - Progress in …, 2022 - Wiley Online Library
Photovoltaic solar energy is increasing its capacity in the global electric market due to its
lower operating costs and higher efficiency, together with the support of the governments …

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 …

Solar panel inspection techniques and prospects

M Meribout, VK Tiwari, JPP Herrera, ANMA Baobaid - Measurement, 2023 - Elsevier
Global awareness of environmental issues has spurred wide interest in renewable energy
resources, among which solar energy is one of the most attractive of these alternatives …

[HTML][HTML] Digital-PV: A digital twin-based platform for autonomous aerial monitoring of large-scale photovoltaic power plants

M Kolahi, SM Esmailifar, AMM Sizkouhi… - Energy Conversion and …, 2024 - Elsevier
In this study, a novel digital twin-based solution called Digital-PV has been developed for
the simulation and managed execution of autonomous aerial monitoring of photovoltaic (PV) …

Fast simulation modeling and multiple-PS fault diagnosis of the PV array based on I–V curve conversion

H Yang, K Ding, X Chen, M Jiang, Z Yang… - Energy Conversion and …, 2024 - Elsevier
Partial shading (PS) is a prevalent fault during photovoltaic (PV) array operation,
significantly impacting power generation performance. An effective approach of PS …