Progress in active infrared imaging for defect detection in the renewable and electronic industries

X Zhao, Y Zhao, S Hu, H Wang, Y Zhang, W Ming - Sensors, 2023 - mdpi.com
In recent years, infrared thermographic (IRT) technology has experienced notable
advancements and found widespread applications in various fields, such as renewable …

[HTML][HTML] A review of automated solar photovoltaic defect detection systems: Approaches, challenges, and future orientations

U Hijjawi, S Lakshminarayana, T Xu, GPM Fierro… - Solar Energy, 2023 - Elsevier
The development of Photovoltaic (PV) technology has paved the path to the exponential
growth of solar cell deployment worldwide. Nevertheless, the energy efficiency of solar cells …

Fault diagnosis of photovoltaic modules using deep neural networks and infrared images under Algerian climatic conditions

N Kellil, A Aissat, A Mellit - Energy, 2023 - Elsevier
The number of decentralized photovoltaic (PV) systems generating electricity has increased
significantly, and its monitoring and maintenance has become a challenge in terms of …

Automatic recognition of earth rock embankment leakage based on UAV passive infrared thermography and deep learning

R Zhou, Z Wen, H Su - ISPRS Journal of Photogrammetry and Remote …, 2022 - Elsevier
Leakage erosion is one of the most harmful driving factors causing river embankment
breaches, particularly in flood season. However, manual patrol is the main way to find river …

[HTML][HTML] Diagnosis of PV faults using digital twin and convolutional mixer with LoRa notification system

YY Hong, RA Pula - Energy Reports, 2023 - Elsevier
The amount of energy that is generated using photovoltaic (PV) arrays has been increasing
rapidly over recent years. To avoid energy and financial losses due to PV faults, numerous …

Diagnosis of photovoltaic faults using digital twin and PSO-optimized shifted window transformer

YY Hong, RA Pula - Applied Soft Computing, 2024 - Elsevier
This work proposes a new method for the detection, localization, and classification of grid-
connected photovoltaic (PV) array faults. Line-to-line, open-module, shorted-module, open …

Module defect detection and diagnosis for intelligent maintenance of solar photovoltaic plants: Techniques, systems and perspectives

W Tang, Q Yang, Z Dai, W Yan - Energy, 2024 - Elsevier
The energy production efficiency of photovoltaic (PV) systems can be degraded due to the
complicated operating environment. Given the huge installed capacity of large-scale PV …

[HTML][HTML] Current trends on the use of deep learning methods for image analysis in energy applications

M Casini, P De Angelis, E Chiavazzo, L Bergamasco - Energy and AI, 2023 - Elsevier
Deep learning methods for image analysis are attracting increasing interest for application in
a wide range of different research fields. Here we aim to systematically analyze and discuss …

A layer-2 solution for inspecting large-scale photovoltaic arrays through aerial LWIR multiview photogrammetry and deep learning: A hybrid data-centric and model …

Y Zefri, I Sebari, H Hajji, G Aniba, M Aghaei - Expert Systems with …, 2023 - Elsevier
Defective components within solar photovoltaic (PV) arrays overheat, resulting in particular
temperature patterns under the long-wave thermal infrared (LWIR) spectrum. The detection …

Fault diagnosis of photovoltaic systems using artificial intelligence: A bibliometric approach

EH Sepúlveda-Oviedo, L Travé-Massuyès, A Subias… - Heliyon, 2023 - cell.com
Conventional fault detection methods in photovoltaic systems face limitations when dealing
with emerging monitoring systems that produce vast amounts of high-dimensional data …