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VANĚK, J. REPKO, I. KLÍMA, J.
Originální název
Automation Capabilities of Solar Modules Defect Detection by Thermography
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper deals with the automation capabilities of defective solar modules detection by thermographic camera mounted on a dron or on the car roof. During thermography imaging analysis of large photovoltaic power plants there are captured large numbers of images. These images are then analyzed by human operators. Given the vast amount of images, which are sometimes very similar, and given of the specificity of some defects, the work of operators can be replaced by the automation recognizing of anomalies software. Two methods for the automatic detection of defects in thermal imaging pictures were developed and validated. First one method is based on the geometric information of tested modules and on the assumption that defective cell has an increased temperature along its whole surface and therefore will appear as a regular geometric shape which is recognizable by geometric comparisons. The second method does recognition by usage of trained artificial neural network.
Klíčová slova
Solar module, solar cell, defect, detection, thermography, automatic
Autoři
VANĚK, J.; REPKO, I.; KLÍMA, J.
Vydáno
7. 12. 2016
Nakladatel
ECS Transaction
Místo
USA
ISBN
978-80-214-5384-5
Kniha
17th International Conference on Advanced Batteries, Accumulators and Fuel Cells (ABAF 2016)
ISSN
1938-5862
Periodikum
ECS Transactions
Ročník
74
Číslo
1
Stát
Spojené státy americké
Strany od
293
Strany do
303
Strany počet
10
BibTex
@inproceedings{BUT131401, author="Jiří {Vaněk} and Ilia {Repko} and Jakub {Klíma}", title="Automation Capabilities of Solar Modules Defect Detection by Thermography", booktitle="17th International Conference on Advanced Batteries, Accumulators and Fuel Cells (ABAF 2016)", year="2016", journal="ECS Transactions", volume="74", number="1", pages="293--303", publisher="ECS Transaction", address="USA", doi="10.1149/07401.0293ecst", isbn="978-80-214-5384-5", issn="1938-5862" }