Failures of Photovoltaic modules and their Detection: A Review

MW Akram, G Li, Y Jin, X Chen - Applied Energy, 2022 - Elsevier
Photovoltaic (PV) has emerged as a promising and phenomenal renewable energy
technology in the recent past and the PV market has developed at an exponential rate …

CNN based automatic detection of photovoltaic cell defects in electroluminescence images

MW Akram, G Li, Y Jin, X Chen, C Zhu, X Zhao… - Energy, 2019 - Elsevier
Automatic defect detection is gaining huge importance in photovoltaic (PV) field due to
limited application of manual/visual inspection and rising production quantities of PV …

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 …

[PDF][PDF] Fault detection of solar PV system using SVM and thermal image processing

K Natarajan, PK Bala, V Sampath - Int. J. Renew. Energy Res, 2020 - academia.edu
Installation of photovoltaic plants across the globe increases, in the recent years, due to the
energy demand across the world. Solar energy is free of cost, inexhaustible and a non …

A hybrid fuzzy convolutional neural network based mechanism for photovoltaic cell defect detection with electroluminescence images

C Ge, Z Liu, L Fang, H Ling, A Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the intelligent manufacturing process of solar photovoltaic (PV) cells, the automatic defect
detection system using the Industrial Internet of Things (IIoT) smart cameras and sensors …

[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 …

Automatic detection of defective solar cells in electroluminescence images via global similarity and concatenated saliency guided network

J Zhang, Y Shen, J Jiang, S Fang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Electroluminescence imaging becomes a very useful technique to automatically detect
defects for solar cells since it can provide high resolution electroluminescence images …

[PDF][PDF] Deep Learning-Based Algorithm for Multi-Type Defects Detection in Solar Cells with Aerial EL Images for Photovoltaic Plants.

W Tang, Q Yang, W Yan - CMES-Computer Modeling in …, 2022 - cdn.techscience.cn
Defects detection with Electroluminescence (EL) image for photovoltaic (PV) module has
become a standard test procedure during the process of production, installation, and …

Solar cell capacitance determination based on an RLC resonant circuit

PA Cotfas, DT Cotfas, PN Borza, D Sera, R Teodorescu - Energies, 2018 - mdpi.com
The capacitance is one of the key dynamic parameters of solar cells, which can provide
essential information regarding the quality and health state of the cell. However, the …

Exploring impedance and modulus response of cobalt titanate in ferroelectric phase

NP Yadav, P Agnihotri, R Rai - Ceramics International, 2024 - Elsevier
This work discusses the structural and electrical aspects of an ilmenite-type rhombohedral
structure in a CoTiO 3 ceramic sample. The analysis of CoTiO 3 powder calcined at 1050° C …