Results 31 to 40 of about 9,229,760 (269)

Highly luminescent colloidal CdS quantum dots with efficient near-infrared electroluminescence in light-emitting diodes [PDF]

, 2016
We acknowledge financial support from FP7 project “Laser Induced Synthesis of Polymeric Nanocomposite Materials and Development of Micro-Patterned Hybrid Light Emitting Diodes (LED) and Transistors (LET)”-LAMP (Project G.A.247928). A.K.B.
Zhang, S., LANZI, MASSIMILIANO, Samuel, I. D. W., Antolini, F, Lanzi, M, Samuel, Ifor David William, Bansal, Ashu Kumar, Orlotani, L, Serra, E., Bansal, A. K., ANTOLINI, FRANCESCO, Serra, E, STROEA, LENUTA, Allard, S, Stroea, L, ORTOLANI, LUCA, Scherf, U, Zhang, Shuyu, Scherf, U., Allard, S., Allard S, Bansal A K, Zhang S, Antolini, F., Ortolani L, Scherf U, Antolini F, Stroea L, Serra E, Samuel I D W, Lanzi M, Samuel, Ifor David William; id_orcid   +31 more
core   +1 more source

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

Image Preprocessing for Outdoor Luminescence Inspection of Large Photovoltaic Parks

Energies, 2021
Electroluminescence (EL) measurements allow one to detect damages and/or defective parts in photovoltaic systems. In principle, it seems possible to predict the complete current/voltage curve from such pictures even automatically. However, such a precise
Pascal Kölblin, Alexander Bartler, Marvin Füller   +2 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   +3 more sources

Electroluminescence from HgTe Nanocrystals and Its Use for Active Imaging [PDF]

Nano Letters, 2020
Mercury telluride (HgTe) nanocrystals are among the most versatile infrared (IR) materials with the absorption of lowest energy optical absorption which can be tuned from the visible to the terahertz range. Therefore, they have been extensively considered as near IR emitters and as absorbers for low-cost IR detectors.
Qu, Junling, Rastogi, Prachi, Gréboval, Charlie, Lagarde, Delphine, Chu, Audrey, Dabard, Corentin, Khalili, Adrien, Cruguel, Hervé, Robert, Cédric, Xu, Xiang, Ithurria, Sandrine, Silly, Mathieu, Ferré, Simon, Marie, Xavier, Lhuillier, Emmanuel   +14 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

Finite element modeling for analysis of electroluminescence and infrared images of thin-film solar cells [PDF]

, 2022
S.186-193Sheet resistance losses and local defects are challenges faced in solar module fabrication and upscaling processes. Commonly used investigation tools are non-invasive optical and thermal imaging techniques, such as electroluminescence ...
Offermans, T., Kirsch, C., Ruhstaller, B., Hiestand, R., Regnat, M., Penninck, L., Zimmermann, Birger, Diethelm, M., Altazin, S.   +8 more
core   +2 more sources

Drone-Based Daylight Electroluminescence Imaging of PV Modules

IEEE Journal of Photovoltaics, 2020
Electroluminescence (EL) imaging is a photovoltaic (PV) module characterization technique, which provides high accuracy in detecting defects and faults, such as cracks, broken cells interconnections, shunts, among many others; furthermore, the EL ...
Gisele Alves dos Reis Benatto, Claire Mantel, S. Spataru, A. A. Santamaria Lancia, Nicholas Riedel, Sune Thorsteinsson, P. Poulsen, H. Parikh, S. Forchhammer, D. Sera   +9 more
semanticscholar   +1 more source

Electroluminescence and photoluminescence characterization of multijunction solar cells

, 2022
6 S.A combined electroluminescence and photoluminescence setup for a fast, nondestructive, and high-resolution characterization of large-area lattice matched GaInP2 /Ga(In)As/Ge triple-junction space solar cells was developed.
Zimmermann, C.G., Bett, Andreas W., Lugli, Paolo, Nesswetter, H.   +3 more
core   +1 more source

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