Results 21 to 30 of about 1,595 (209)

Fast and Robust Detection of Solar Modules in Electroluminescence Images [PDF]

, 2019
Fast, non-destructive and on-site quality control tools, mainly high sensitive imaging techniques, are important to assess the reliability of photovoltaic plants. To minimize the risk of further damages and electrical yield losses, electroluminescence (EL) imaging is used to detect local defects in an early stage, which might cause future electric ...
Mathis Hoffmann, Bernd Doll, Florian Talkenberg, Christoph J. Brabec, Andreas K. Maier, Vincent Christlein   +5 more
openaire   +3 more sources

Identifying defective solar cells in electroluminescence images using deep feature representations [PDF]

PeerJ Computer Science, 2022
Electroluminescence (EL) imaging is a technique for acquiring images of photovoltaic (PV) modules and examining them for surface defects. Analysis of EL images has been manually performed by visual inspection of images by experts.
Alaa S. Al‐Waisy, Dheyaa Ibrahim, Dilovan Asaad Zebari, Shumoos Hammadi, Hussam Mohammed, Mazin Abed Mohammed, Robertas Damaševičius   +6 more
doaj   +2 more sources

Solar Cell Cracks and Finger Failure Detection Using Statistical Parameters of Electroluminescence Images and Machine Learning

Applied Sciences, 2020
A wide range of defects, failures, and degradation can develop at different stages in the lifetime of photovoltaic modules. To accurately assess their effect on the module performance, these failures need to be quantified.
Harsh Rajesh Parikh, Yoann Buratti, Sergiu Spataru, Frederik Villebro, Gisele Alves Dos Reis Benatto, Peter B. Poulsen, Stefan Wendlandt, Tamas Kerekes, Dezso Sera, Ziv Hameiri   +9 more
doaj   +1 more source

A Scalable Framework for Annotating Photovoltaic Cell Defects in Electroluminescence Images

IEEE Transactions on Industrial Informatics, 2023
The correct functioning of photovoltaic (PV) cells is critical to ensuring the optimal performance of a solar plant. Anomaly detection techniques for PV cells can result in significant cost savings in operation and maintenance (O&M). Recent research has focused on deep learning techniques for automatically detecting anomalies in Electroluminescence
Urtzi Otamendi, Iñigo Martinez, Igor García Olaizola, Marco Quartulli   +3 more
openaire   +2 more sources

Mitigating Potential-Induced Degradation (PID) Using SiO₂ ARC Layer

Energies, 2020
Potential-induced degradation (PID) of photovoltaic (PV) cells is one of the most severe types of degradation, where the output power losses in solar cells may even exceed 30%.
Mahmoud Dhimish, Yihua Hu, Nigel Schofield, Romênia G. Vieira   +3 more
doaj   +1 more source

A Photovoltaic Module Diagnostic Setup for Lock-in Electroluminescence Imaging [PDF]

2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 2019
Electroluminescence (EL) imaging and infrared (IRT) thermography techniques have become indispensable tools in recent years for health diagnostic of photovoltaic modules in solar industry application. We propose a diagnostic setup, which performs lock-in EL for accurate analysis of different types of faults occurring in a solar module.
Parikh, Harsh Rajesh, Spataru, Sergiu, Sera, Dezso, Benatto, Gisele A. dos Reis, Poulsen, Peter, Mantel, Claire, Forchhammer, Søren, Larsen, Michael, Frederiksen, Kenn H. B., Vedde, Jan   +9 more
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Operating organic light-emitting diodes imaged by super-resolution spectroscopy

Nature Communications, 2016
There is a need to characterize devices during operation in real-time and at nanoscopic length scales. Here, King et al. perform electroluminescence-STED imaging with a polymer based light-emitting diode, revealing nanoscopic defects that would be ...
John T. King, Steve Granick
doaj   +1 more source

Automatic processing and solar cell detection in photovoltaic electroluminescence images [PDF]

Integrated Computer-Aided Engineering, 2019
Electroluminescence (EL) imaging is a powerful and established technique for assessing the quality of photovoltaic (PV) modules, which consist of many electrically connected solar cells arranged in a grid. The analysis of imperfect real-world images requires reliable methods for preprocessing, detection and extraction of the cells.
Evgenii Sovetkin, Ansgar Steland
openaire   +2 more sources

Dynamic Electroluminescence Imaging

III-Vs Review, 2003
AbstractThe Canadian National Research Council’s Institute for Microstructural Sciences (NRC-IMS) and MuAnalysis have begun a research agreement to jointly develop methods to detect semiconductor anomalies using a new technique known as Dynamic Electroluminescence Imaging (DEI).
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Electroluminescence imaging of PV devices: Camera calibration and image correction [PDF]

2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC), 2016
A method for the correction of electroluminescence (EL) images of PV devices is presented. This includes a camera calibration based on focus, dark current, flat field and lens distortion as well as artefact removal, including single-time-effects and erroneous pixels.
Karl G. Bedrich, Martin Bliss, Thomas R. Betts, Ralph Gottschalg   +3 more
openaire   +1 more source