Application Scenarios of Artificial Intelligence in Electric Drives Production

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Mayr A, Weigelt M, Masuch M, Meiners M, Hüttel F, Franke J
Publication year: 2018
Conference Proceedings Title: Procedia Manufacturing, Volume 24
Pages range: 40-47
ISSN: ISSN 2351


Abstract

Artificial intelligence (AI) is the overall term for technologies used to build intelligent systems, no matter whether utilized in an industrial or private environment. However, hardly any AI-based approaches have been proposed for the increasingly important electric drives production yet. By identifying and presenting exemplary application scenarios for knowledge-based systems (KBS) and machine learning (ML), the paper serves as a starting point for further research in the respective fields. Among others, the systematic overview reveals that KBS are especially suited for supporting the planning of electric drives production systems, whereas ML-based approaches have great potential for optimizing single production processes.


FAU Authors / FAU Editors

Franke, Jörg Prof. Dr.-Ing.
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik
Masuch, Michael
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik
Mayr, Andreas
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik
Meiners, Moritz
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik
Weigelt, Michael
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik


How to cite

APA:
Mayr, A., Weigelt, M., Masuch, M., Meiners, M., Hüttel, F., & Franke, J. (2018). Application Scenarios of Artificial Intelligence in Electric Drives Production. In Procedia Manufacturing, Volume 24 (pp. 40-47). Hannover.

MLA:
Mayr, Andreas, et al. "Application Scenarios of Artificial Intelligence in Electric Drives Production." Proceedings of the 4th International Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Hannover 2018. 40-47.

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Last updated on 2019-08-01 at 17:10