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Mathis Hoffmann, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room: Room 09.153
Martensstr. 3
91058 Erlangen

Please refer to my LinkedIn profile.

2018

  • Analysis of Defects on Solar Power Cells

    (Third Party Funds Group – Sub project)

    Overall project: iPV 4.0: Intelligente vernetzte Produktion mittels Prozessrückkopplung entlang des Produktlebenszyklus von Solarmodulen
    Term: August 1, 2018 - July 31, 2021
    Funding source: Bundesministerium für Wirtschaft und Technologie (BMWi)

    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.

2021

Journal Articles

Conference Contributions

2019

Journal Articles

Conference Contributions

2018

Journal Articles

Conference Contributions