A review of models for photovoltaic crack and hotspot prediction

G Goudelis, PI Lazaridis, M Dhimish - Energies, 2022 - mdpi.com
The accurate prediction of the performance output of photovoltaic (PV) installations is
becoming ever more prominent. Its success can provide a considerable economic benefit …

Deep residual network based fault detection and diagnosis of photovoltaic arrays using current-voltage curves and ambient conditions

Z Chen, Y Chen, L Wu, S Cheng, P Lin - Energy Conversion and …, 2019 - Elsevier
Automatic fault detection and diagnosis techniques for photovoltaic arrays are crucial to
promote the efficiency, reliability and safety of photovoltaic systems. In recent decades …

Potential induced degradation in photovoltaic modules: A review of the latest research and developments

G Badran, M Dhimish - Solar, 2023 - mdpi.com
Photovoltaic (PV) technology plays a crucial role in the transition towards a low-carbon
energy system, but the potential-induced degradation (PID) phenomenon can significantly …

A lightweight network for photovoltaic cell defect detection in electroluminescence images based on neural architecture search and knowledge distillation

J Zhang, X Chen, H Wei, K Zhang - Applied Energy, 2024 - Elsevier
Nowadays, the rapid development of photovoltaic (PV) power stations requires increasingly
reliable maintenance and fault diagnosis of PV modules in the field. Due to the …

[HTML][HTML] Solar cells micro crack detection technique using state-of-the-art electroluminescence imaging

M Dhimish, V Holmes - Journal of Science: Advanced Materials and …, 2019 - Elsevier
In this article, we present the development of a novel technique that is used to enhance the
detection of micro cracks in solar cells. Initially, the output image of a conventional …

Investigating the impact of cracks on solar cells performance: Analysis based on nonuniform and uniform crack distributions

M Dhimish, V d'Alessandro… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The article investigates the detrimental effect of nonuniform and uniform crack distributions
over a solar cell in terms of open-circuit voltage (), short-circuit current density (), and output …

Micro-cracks detection of solar cells surface via combining short-term and long-term deep features

X Qian, J Li, J Cao, Y Wu, W Wang - Neural Networks, 2020 - Elsevier
The machine vision based methods for micro-cracks detection of solar cells surface have
become one of the main research directions with its efficiency and convenience. The existed …

A comprehensive evaluation on types of microcracks and possible effects on power degradation in photovoltaic solar panels

M Bdour, Z Dalala, M Al-Addous, A Radaideh… - Sustainability, 2020 - mdpi.com
Photovoltaic (PV) panels installation has become one of the major technologies used for
energy production worldwide. Knowledge and competitive prices are the main reasons for …

Automatic defect inspection for monocrystalline solar cell interior by electroluminescence image self-comparison method

J Xu, Y Liu, Y Wu - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
The monocrystalline solar cell (MSC) interior is prone to miscellaneous defects that affect
energy conversion efficiency and even cause fatal damage to the photovoltaic module. In …

A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition With Uncertainties

L Ma, N Li, P Zhu, K Tang, A Khan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Defect recognition is an important task in intelligent manufacturing. Due to the subjectivity of
human annotation, the collected defect data usually contains a lot of noise and …