Application Scenarios of Artificial Intelligence in Electric Drives Production

Mayr A, Weigelt M, Masuch M, Meiners M, Hüttel F, Franke J (2018)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Pages Range: 40-47

Conference Proceedings Title: Procedia Manufacturing, Volume 24

Event location: Hannover


DOI: 10.1016/j.promfg.2018.06.006


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.

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How to cite


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.


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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