| Analysis of Defects on Solar Power Cells Over the last decade, a large number of solar power
plants have been installed in Germany. To ensure a high
performance, it is necessary to detect defects early.
Therefore, it is required to control the quality of the
solar cells during the production process, as well as to
monitor the installed modules. Since manual inspections
are expensive, a large degree of automation is required.
This project aims to develop a new approach to
automatically detect and classify defects on solar power
cells and to estimate their impact on the performance.
Further, big data methods will be applied to identify
circumstances that increase the probability of a cell to
become defect. As a result, it will be possible to reject
cells in the production that have a high likelihood to
become defect. | Project manager:
Prof. Dr.-Ing. habil. Andreas Maier
Project participants:
Mathis Hoffmann, M. Sc.
Keywords:
non-destructive testing;defect-classification;electroluminescence;photoluminescence;solar power cells
Duration: 1.8.2018 - 31.7.2021
Sponsored by:
Bundesministerium für Wirtschaft und Energie
Contact:
Hoffmann, Mathis
Phone +49 9131 85 25246, Fax +49 9131 85 27270, E-Mail: mathis.hoffmann@fau.de
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