Benjamin Lutz, M.Sc.
- Phone number: +49 9131 85-28158
- Fax number: +49 9131 302528
- Email: benjamin.lutz@faps.fau.de
- Address: Egerlandstr. 9
91058 Erlangen - Research Sector: Automated Productionsystems
- Technology Fields: Intelligent Data Analysis and Information Systems
Relevant News
2020
2019
- 19.12.2019: Best Paper Award of AMV2019 in Boca Raton, Florida for Benjamin Lutz
- 24.10.2019: Call for applications for the FAPS Academic Award Night academic awards
- 16.01.2020: The FAPS Academic Award Night was a successful start into the new academic FAPS year 2020
- 20.09.2019: Expansion of the IT infrastructure in the Nuremberg and Erlangen laboratories
2018
Publications
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Benchmark of Automated Machine Learning with State-of-the-Art Image Segmentation Algorithms for Tool Condition Monitoring
In: Procedia Manufacturing 51 (2020), p. 215-221
ISSN: 2351-9789
DOI: 10.1016/j.promfg.2020.10.031
URL: https://www.sciencedirect.com/science/article/pii/S2351978920318862?via=ihub#!
BibTeX: Download - , , , :
AI-based Approach for Predicting the Machinability under Consideration of Material Batch Deviations in Turning Processes
In: Procedia CIRP 93 (2020), p. 1382-1387
ISSN: 2212-8271
DOI: 10.1016/j.procir.2020.04.100
URL: https://www.sciencedirect.com/science/article/pii/S2212827120307344?via=ihub
BibTeX: Download - , , , , :
Streamlining the development of data-driven industrial applications by automated machine learning
53rd CIRP Conference on Manufacturing Systems, CMS 2020 (Chicago, IL, 1. July 2020 - 3. July 2020)
In: Robert X. Gao, Kornel Ehmann (ed.): Procedia CIRP 2020
DOI: 10.1016/j.procir.2020.04.009
BibTeX: Download - , , , , , , , , , , :
Machine Learning in Production – Potentials, Challenges and Exemplary Applications
7th CIRP Global Web Conference – Towards shifted production value stream patterns through inference of data, models, and technology (CIRPe 2019) (Online, 16. October 2019 - 18. October 2019)
In: Procedia CIRP 2019
DOI: 10.1016/j.procir.2020.01.035
URL: https://www.sciencedirect.com/science/article/pii/S2212827120300445?via=ihub
BibTeX: Download - , , , , , , :
Elektromotorenproduktion 4.0: Potenziale des maschinellen Lernens in der Elektromotorenproduktion am Beispiel des Laserschweißens von Hairpins
In: Zeitschrift für wirtschaftlichen Fabrikbetrieb 114 (2019), p. 145-149
ISSN: 0932-0482
DOI: 10.3139/104.112051
URL: https://www.hanser-elibrary.com/doi/abs/10.3139/104.112051
BibTeX: Download - , , , , , :
Evaluation of Deep Learning for Semantic Image Segmentation in Tool Condition Monitoring
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) (Boca Raton, Florida)
In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) 2019
DOI: 10.1109/ICMLA47014.2019
BibTeX: Download - , , , , , , , :
Evaluation of Machine Learning for Quality Monitoring of Laser Welding Using the Example of the Contacting of Hairpin Windings
8th International Electric Drives Production Conference (EDPC) (Schweinfurt, 4. December 2018 - 5. December 2018)
DOI: 10.1109/EDPC.2018.8658346
URL: https://ieeexplore.ieee.org/document/8658346
BibTeX: Download - , , , :
Development of a joining gap control system for laser welding of zinc-coated steel sheets driven by process observation
In: Journal of Laser Applications (2018)
ISSN: 1042-346X
DOI: 10.2351/1.5040622
BibTeX: Download - , , , , , , , :
Potentials of machine learning in electric drives production using the example of contacting processes and selective magnet assembly
7th International Electric Drives Production Conference (EDPC) (Würzburg, Germany, 5. December 2017 - 6. December 2017)
In: 2017 7th International Electric Drives Production Conference (EDPC) 2017
DOI: 10.1109/EDPC.2017.8328166
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8328166&isnumber=8328136
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