System for an automatic analysis of defective Solar cells in the Solar Module
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU93912" target="_blank" >RIV/00216305:26220/11:PU93912 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
System for an automatic analysis of defective Solar cells in the Solar Module
Original language description
This paper deals with the possibility of automated detection of defective solar cells within the whole solar m module taken by electroluminescence methods. There is variety of possibilities to make a useful analysis of the quality of used material and technology processes during the manufacturing of solar cell and modules. One of the best fro m these method that are capable to show the distribution of defects in the structure we can consider the electroluminescence which can detect defects in the fastest way. This method used in manufacturing process creates large array of data displaying local behavior of solar cell and panel structure.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Montanistica Slovaca
ISSN
1335-1788
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
2
Country of publishing house
SK - SLOVAKIA
Number of pages
6
Pages from-to
105-110
UT code for WoS article
000294663100003
EID of the result in the Scopus database
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