Andreas Mayr

Andreas Mayr, M.Sc., M.Sc.

Tätigkeit: Koordinator des Technologiefelds "Künstliche Intelligenz und Maschinelles Lernen"; Wissenschaftlicher Mitarbeiter im Forschungsbereich Elektromaschinenbau
Organisation: Department Maschinenbau (MB)
Abteilung: Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS)
Telefonnummer: +49 911 5302-99064
Faxnummer: +49 911 5302-9070
E-Mail: andreas.mayr@faps.fau.de
Webseite: http://www.faps.fau.de
Adresse:
Fürther Str. 246b
90429 Nürnberg
Raum 01.059-1
Themenbereich: Elektromotorenproduktion 4.0 - Einsatz von Künstlicher Intelligenz, insb. Maschinellem Lernen, zur Optimierung der Produktion von Elektromotoren
Forschungsbereich: Elektromaschinenbau
Technologiefelder: Planung und Simulation, Software Engineering und Deployment,
Künstliche Intelligenz und Maschinelles Lernen
Lehrveranstaltungen: Industrie 4.0 für Ingenieure, Elektromaschinenbau, Produktionssystematik, Fertigungstechnisches Praktikum 2

Aktuelle studentische Arbeiten

Aktuelle HiWi-Ausschreibungen

Studentische Hilfskraft am E|Drive-Center im Bereich der Elektromotorenproduktion 4.0, insb. Künstliche Intelligenz und Maschinelles Lernen

Passende News

2021

2020

2019

2018

23.-26.02.2018: Zwei Studierende des FAPS-Fellowship-Programms nehmen erfolgreich am "Smart Green Island Makethon 2018" auf Gran Canaria teil

2017

Presse Artikel

2019

25.11.2019: Main-Post berichtet über lernende Systeme für die Produktion - FAPS gibt Überblick über deren Potenziale

Publikationen

Mayr A., Rommel C., Schaller V., Franke J.:
Kennzahlenbasiertes F & E-Controlling im Kontext der Elektromobilität: Methodische Erarbeitung eines Kennzahlengerüsts für das operative F & E-Controlling am Beispiel eines Maschinen- und Anlagenbauers
In: Zeitschrift für wirtschaftlichen Fabrikbetrieb 117 (2022), S. 133-138
ISSN: 0932-0482
DOI: 10.1515/zwf-2022-1023
BibTeX: Download
Schäffer E., Mayr A., Reichenstein T., Shafiee S., Franke J.:
Four Independent Knowledge Domains to Enable an Agile, Distributed Development of User-Centred Engineering Configurators
In: Procedia CIRP 103 (2021), S. 134-139
ISSN: 2212-8271
DOI: 10.1016/j.procir.2021.10.021
BibTeX: Download
Kißkalt D., Mayr A.:
Maschinelles Lernen in der Produktion
(2021), S. 46 - 47
Open Access: https://wbm-publish.blaetterkatalog.de/frontend/mvc/catalog/by-name/INP?catalogName=INP2107D
URL: https://wbm-publish.blaetterkatalog.de/frontend/mvc/catalog/by-name/INP?catalogName=INP2107D
BibTeX: Download
(Zeitungsartikel)
Meiners M., Mayr A., Franke J.:
Process curve analysis with machine learning on the example of screw fastening and press-in processes
In: Procedia CIRP 97 (2021), S. 166-171
ISSN: 2212-8271
DOI: 10.1016/j.procir.2020.05.220
URL: https://www.sciencedirect.com/science/article/pii/S2212827120314414
BibTeX: Download
Raffin T., Mayr A., Fuchs J., Baader M., Morello A., Kühl A., Franke J.:
A Microservice-Based Architecture for Flexible Data Acquisition at the Edge in the Context of Hairpin Stator Production
2021 11th International Electric Drives Production Conference (EDPC) (Erlangen, 7. Dezember 2021 - 9. Dezember 2021)
DOI: 10.1109/EDPC53547.2021.9684194
BibTeX: Download
Baader M., Mayr A., Raffin T., Selzam JH., Kühl A., Franke J.:
Potentials of Optical Coherence Tomography for Process Monitoring in Laser Welding of Hairpin Windings
11th International Electric Drives Production Conference (EDPC) (Erlangen)
DOI: 10.1109/EDPC53547.2021.9684210
BibTeX: Download
Schäffer E., Stiehl V., Schwab P., Mayr A., Lierhammer J., Franke J.:
Process-Driven Approach within the Engineering Domain by Combining Business Process Model and Notation (BPMN) with Process Engines
In: Procedia CIRP 96 (2021), S. 207-212
ISSN: 2212-8271
DOI: 10.1016/j.procir.2021.01.076
BibTeX: Download
Kampker A., Wessel S., Lutz N., Heine S., Mayr A., Kuhn A.:
Model improvement through real data connection for Virtual commissioning in ramp-up management of scalable production systems
14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2020 (Naples, 15. Juli 2020 - 17. Juli 2020)
In: Roberto Teti, Doriana M. D'Addona (Hrsg.): Procedia CIRP 2021
DOI: 10.1016/j.procir.2021.03.087
BibTeX: Download
Mayr A., Röll P., Winkle D., Enzmann M., Bickel B., Franke J.:
Data-driven quality monitoring of bending processes in hairpin stator production using machine learning techniques
9th CIRP Global Web Conference on Sustainable, Resilient, and Agile Manufacturing and Service Operations: Lessons from COVID-19, CIRPe 2021 (Virtual, Online, 26. Oktober 2021 - 28. Oktober 2021)
In: Khaled Medini, Thorsten Wuest (Hrsg.): Procedia CIRP 2021
DOI: 10.1016/j.procir.2021.10.041
BibTeX: Download
Schäffer E., Shafiee S., Mayr A., Franke J.:
A strategic approach to improve the development of use-oriented knowledge-based engineering configurators (KBEC)
In: Procedia CIRP 96 (2021), S. 219-224
ISSN: 2212-8271
DOI: 10.1016/j.procir.2021.01.078
URL: https://www.sciencedirect.com/science/article/pii/S2212827121001050
BibTeX: Download
Lutz B., Kißkalt D., Mayr A., Regulin D., Pantano M., Franke J.:
In-situ identification of material batches using machine learning for machining operations
In: Journal of Intelligent Manufacturing (2020)
ISSN: 0956-5515
DOI: 10.1007/s10845-020-01718-3
BibTeX: Download
Meiners M., Mayr A., Kuhn M., Raab B., Franke J.:
Towards an Inline Quality Monitoring for Crimping Processes Utilizing Machine Learning Techniques
10th International Electric Drives Production Conference, EDPC 2020 (Ludwigsburg, 8. Dezember 2020 - 9. Dezember 2020)
In: 2020 10th International Electric Drives Production Conference, EDPC 2020 - Proceedings 2020
DOI: 10.1109/EDPC51184.2020.9388207
BibTeX: Download
Meiners M., Mayr A., Thomsen M., Franke J.:
Application of Machine Learning for Product Batch Oriented Control of Production Processes
In: Procedia CIRP 93 (2020), S. 431-436
ISSN: 2212-8271
DOI: 10.1016/j.procir.2020.04.006
BibTeX: Download
Bauer J., Hechtel M., Konrad C., Holzwarth M., Mayr A., Schneider S., Franke J., Hoffmann H., Zinnikus I., Feld T., Runge M., Hinz O.:
ForeSight-AI-based Smart Living Platform Approach
In: Current Directions in Biomedical Engineering 6 (2020), Art.Nr.: 20203099
ISSN: 2364-5504
DOI: 10.1515/cdbme-2020-3099
BibTeX: Download
Mayr A., Kißkalt D., Lomakin A., Graichen K., Franke J.:
Towards an intelligent linear winding process through sensor integration and machine learning techniques
8th CIRP Global Web Conference – Flexible Mass Customisation (CIRPe 2020) (, 14. Oktober 2020 - 16. Oktober 2020)
BibTeX: Download
Kißkalt D., Mayr A., Lutz B., Rögele A., Franke J.:
Streamlining the development of data-driven industrial applications by automated machine learning
53rd CIRP Conference on Manufacturing Systems, CMS 2020 (Chicago, IL, 1. Juli 2020 - 3. Juli 2020)
In: Robert X. Gao, Kornel Ehmann (Hrsg.): Procedia CIRP 2020
DOI: 10.1016/j.procir.2020.04.009
BibTeX: Download
Schäfer F., Mayr A., Schwulera E., Franke J.:
Smart use case picking with DUCAR: A hands-on approach for a successful integration of machine learning in production processes
30th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2021 (Athens, 15. Juni 2021 - 18. Juni 2021)
In: George-Christopher Vosniakos, Marcello Pellicciari, Panorios Benardos, Angelos Markopoulos (Hrsg.): Procedia Manufacturing 2020
DOI: 10.1016/j.promfg.2020.10.183
BibTeX: Download
Bauer J., Hechtel M., Konrad C., Holzwarth M., Hoffmann H., Feld T., Schneider S., Zinnikus I., Mayr A., Franke J.:
ForeSight - An AI-driven Smart Living Platform, Approach to Add Access Control to openHAB
18th International Conference on Smart Homes and Health Telematics, ICOST 2020 (Hammamet, 24. Juni 2020 - 26. Juni 2020)
In: Mohamed Jmaiel, Hamdi Aloulou, Mounir Mokhtari, Bessam Abdulrazak, Slim Kallel (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-51517-1_40
BibTeX: Download
Lomakin A., Mayr A., Graichen K., Franke J.:
Optimization of direct winding processes based on a holistic control approach
Electric Drives Production Conference (E-DPC) (Ludwigsburg (D), 8. Dezember 2020 - 9. Dezember 2020)
BibTeX: Download
Mayr A., Seefried J., Ziegler M., Masuch M., Mahr A., von Lindenfels J., Meiners M., Kißkalt D., Metzner M., Franke J.:
Machine Learning in Electric Motor Production - Potentials, Challenges and Exemplary Applications
2019 9th International Electric Drives Production Conference (E|DPC) (Esslingen, 3. Dezember 2019 - 4. Dezember 2019)
In: 2019 9th International Electric Drives Production Conference (EDPC) 2019
DOI: 10.1109/EDPC48408.2019.9011861
URL: https://ieeexplore.ieee.org/document/9011861/
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Masuch M., von Lindenfels J., Seefried J., Mayr A., Schneider M., Weigelt M., Kühl A., Franke J., Hemmer C.:
Comparison of Additive Balancing Processes for Rotors in the Context of High Speed Electric Traction Motors
2019 9th International Electric Drives Production Conference (E|DPC) (Esslingen, 3. Dezember 2019 - 4. Dezember 2019)
In: 2019 9th International Electric Drives Production Conference (EDPC) 2019
DOI: 10.1109/EDPC48408.2019.9012036
URL: https://ieeexplore.ieee.org/document/9012036/
BibTeX: Download
Ziegler M., Mayr A., Seefried J., Kühl A., Franke J.:
Potentials of Process Monitoring During Laser Welding of Electrical Steel Laminations
2019 9th International Electric Drives Production Conference (EDPC) (Esslingen, Germany, 3. Dezember 2019 - 4. Dezember 2019)
In: 2019 9th International Electric Drives Production Conference (EDPC) 2019
DOI: 10.1109/EDPC48408.2019.9011918
URL: https://ieeexplore.ieee.org/document/9011918
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Meiners M., Mayr A., Lechler T., Franke J.:
Accelerated Production Ramp-Up Utilising Clustering and Visualisation of Process Chain Interrelationships
2019 9th International Electric Drives Production Conference (EDPC) (Esslingen, Germany, 3. Dezember 2019 - 4. Dezember 2019)
In: 2019 9th International Electric Drives Production Conference (EDPC) 2019
DOI: 10.1109/EDPC48408.2019.9011827
URL: https://ieeexplore.ieee.org/document/9011827
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Weigelt M., Kink J., Mayr A., von Lindenfels J., Kühl A., Franke J.:
Digital Twin of the Linear Winding Process Based on Explicit Finite Element Method
2019 9th International Electric Drives Production Conference (EDPC) (Esslingen, Germany, 3. Dezember 2019 - 4. Dezember 2019)
In: 2019 9th International Electric Drives Production Conference (EDPC) 2019
DOI: 10.1109/EDPC48408.2019.9011857
URL: https://ieeexplore.ieee.org/document/9011857
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Metzner M., Fiebag D., Mayr A., Franke J.:
Automated Optical Inspection of Soldering Connections in Power Electronics Production Using Convolutional Neural Networks
2019 9th International Electric Drives Production Conference (EDPC) (Esslingen, Germany, 3. Dezember 2019 - 4. Dezember 2019)
In: 2019 9th International Electric Drives Production Conference (EDPC) 2019
DOI: 10.1109/EDPC48408.2019.9011820
URL: https://ieeexplore.ieee.org/document/9011820
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von Lindenfels J., Urban N., Mayr A., Meyer AW., Franke J.:
Advances in Quality Monitoring of Stray Fields on Rotors of Permanent Magnet Synchronous Motors
2019 9th International Electric Drives Production Conference (EDPC) (Esslingen, Germany, 3. Dezember 2019 - 4. Dezember 2019)
In: 2019 9th International Electric Drives Production Conference (EDPC) 2019
DOI: 10.1109/EDPC48408.2019.9012022
URL: https://ieeexplore.ieee.org/document/9012022
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Mayr A., Dietze S., Herzog T., Schäffer E., Schäfer F., Bauer J., Fuchs J., Franke J.:
Knowledge-based Support of the Production System Design by Semantic Technologies Using the Example of the Electric Motor Production
2019 9th International Electric Drives Production Conference (EDPC) (Esslingen, Germany, 3. Dezember 2019 - 4. Dezember 2019)
In: 2019 9th International Electric Drives Production Conference (EDPC) 2019
DOI: 10.1109/EDPC48408.2019.9011874
URL: https://ieeexplore.ieee.org/document/9011874
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Selmaier A., Robitzch P., Mayr A., Fürst J., Franke J.:
Cross-Process Quality Analysis of X-ray Tubes for Medical Applications Using Machine Learning Techniques
In: Wulfsberg J., Hintze W., Behrens BA. (Hrsg.): Production at the leading edge of technology, Berlin, Heidelberg: Springer Vieweg, 2019, S. 513-522
ISBN: 978-3-662-60417-5
DOI: 10.1007/978-3-662-60417-5_51
URL: https://link.springer.com/chapter/10.1007/978-3-662-60417-5_51
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Weigelt M., Mayr A., Kühl A., Franke J.:
Methodical Comparison of Alternative Powertrain Technologies for Long-Distance Mobility Using Germany as an Example
In: WEVJ (World Electric Vehicle Journal), 2019, S. 1-20
DOI: 10.3390/wevj10040077
URL: https://www.mdpi.com/2032-6653/10/4/77
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Metzner M., Weissert S., Karlidag E., Albrecht F., Blank A., Mayr A., Franke J.:
Virtual Commissioning of 6 DoF Pose Estimation and Robotic Bin Picking Systems for Industrial Parts
In: IFAC-PapersOnLine 52 (2019), S. 160-164
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2019.10.040
URL: https://www.sciencedirect.com/science/article/pii/S240589631930895X
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Bauer J., Hoffmann H., Feld T., Runge M., Hinz O., Mayr A., Förster K., Teske F., Schäfer F., Konrad C., Franke J.:
ForeSight - Platform Approach for Enabling AI-based Services for Smart Living
17th International Conference on Smart Living and Public Health, ICOST 2019 (New York City, NY, 14. Oktober 2019 - 16. Oktober 2019)
In: José Pagán, Mounir Mokhtari, Hamdi Aloulou, Bessam Abdulrazak, María Fernanda Cabrera (Hrsg.): How AI Impacts Urban Living and Public Health 2019
DOI: 10.1007/978-3-030-32785-9_19
URL: https://link.springer.com/chapter/10.1007/978-3-030-32785-9_19
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Schäffer E., Fröhlig S., Mayr A., Franke J.:
A method for collaborative knowledge acquisition and modeling enabling the development of a knowledge-based configurator of robot-based automation solutions
In: Procedia CIRP 7th CIRP Global Web Conference – Towards shifted production value stream patterns through inference of data, models, and technology (2019), S. 92-97
ISSN: 2212-8271
DOI: 10.1016/j.procir.2020.01.018
URL: https://www.researchgate.net/publication/339345450_A_method_for_collaborative_knowledge_acquisition_and_modeling_enabling_the_development_of_a_knowledge-based_configurator_of_robot-based_automation_solutions
BibTeX: Download
Mayr A., Kißkalt D., Meiners M., Lutz B., Schäfer F., Seidel R., Selmaier A., Fuchs J., Metzner M., Blank A., Franke J.:
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. Oktober 2019 - 18. Oktober 2019)
In: Procedia CIRP 2019
DOI: 10.1016/j.procir.2020.01.035
URL: https://www.sciencedirect.com/science/article/pii/S2212827120300445?via=ihub
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Schäffer E., Mayr A., Fuchs J., Sjarov M., Vorndran J., Franke J.:
Microservice-based architecture for engineering tools enabling a collaborative multi-user configuration of robot-based automation solutions
In: Procedia CIRP 7th CIRP Global Web Conference – Towards shifted production value stream patterns through inference of data, models, and technology (2019), S. 86-91
ISSN: 2212-8271
DOI: 10.1016/j.procir.2020.01.017
URL: https://www.researchgate.net/publication/339348125_Microservice-based_architecture_for_engineering_tools_enabling_a_collaborative_multi-user_configuration_of_robot-based_automation_solutions
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Donhauser T., Mayr A., Baier L., Franke J.:
Verfolgung von Bauteil- und Anlagentemperaturen in Produktionssystemen zur Energiesimulation bei thermischen Einflussfaktoren
In: Putz M, Schlegel A (Hrsg.): ASIM 2019 - Simulation in Produktion und Logistik, Auerbach /Vogtl.: Wissenschaftliche Scripten, 2019, S. 163--172
ISBN: 978-3-95735-113-5
URL: http://www.asim-fachtagung-spl.de/asim2019/papers/16_Proof_173.pdf
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Donhauser T., Kißkalt D., Mayr A., Scholz M., Schuderer P., Franke J.:
Integration maschineller Lernverfahren in eine Materialflusssimulation zur Verhaltensabstraktion und -vorhersage komplexer Fertigungssysteme
In: Putz, Matthias; Schlegel, Andreas (Hrsg.): ASIM 2019 - Simulation in Produktion und Logistik, Auerbach /Vogtl.: Wissenschaftliche Scripten, 2019, S. 19-28
ISBN: 978-3-95735-113-5
URL: http://www.asim-fachtagung-spl.de/asim2019/papers/02_Proof_156.pdf
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Seefried J., Gläßel T., Kühl A., Mayr A., Franke J.:
Experimental Evaluation of Tool Geometries for the Ultrasonic Crimping Process for Tubular Cable Lugs
2019 IEEE Holm Conference on Electrical Contacts (Milwaukee, WI, USA, 14. September 2019 - 18. September 2019)
In: 2019 IEEE Holm Conference on Electrical Contacts 2019
DOI: 10.1109/HOLM.2019.8923709
URL: https://ieeexplore.ieee.org/document/8923709
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Gläßel T., Seefried J., Masuch M., Riedel A., Mayr A., Kühl A., Franke J.:
Process Reliable Laser Welding of Hairpin Windings for Automotive Traction Drives
IEEE International Conference on Engineering, Science, and Industrial Applications (ICESI) (Tokyo, Japan, 22. August 2019 - 24. August 2019)
DOI: 10.1109/ICESI.2019.8863004
URL: https://ieeexplore.ieee.org/document/8863004
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Lechler T., Fischer E., Metzner M., Mayr A., Franke J.:
Virtual Commissioning – Scientific review and exploratory use cases in advanced production systems
In: Procedia CIRP 81 (2019), S. 1125–1130
ISSN: 2212-8271
DOI: 10.1016/j.procir.2019.03.278
URL: https://www.sciencedirect.com/science/article/pii/S2212827119305839
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Mayr A., Lechler T., Donhauser T., Metzner M., Schäffer E., Fischer E., Franke J.:
Advances in energy-related plant simulation by considering load and temperature profiles in discrete event simulation
In: Procedia CIRP 81 (2019), S. 1325-1330
ISSN: 2212-8271
DOI: 10.1016/j.procir.2019.04.021
URL: https://www.sciencedirect.com/science/article/pii/S2212827119306353
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Schäffer E., Mayr A., Huber T., Höflinger T., Einecke M., Franke J.:
Gradual tool-based optimization of engineering processes aiming at a knowledge-based configuration of robot-based automation solutions
In: Procedia CIRP 81 (2019), S. 736-741
ISSN: 2212-8271
DOI: 10.1016/j.procir.2019.03.186
URL: https://www.sciencedirect.com/science/article/pii/S2212827119304913
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Seidel R., Mayr A., Schäfer F., Kißkalt D., Franke J.:
Towards a Smart Electronics Production Using Machine Learning Techniques
42nd International Spring Seminar on Electronics Technology (ISSE) (Wroclaw, 15. September 2019 - 19. Mai 2019)
In: 2019 42nd International Spring Seminar on Electronics Technology (ISSE) 2019
DOI: 10.1109/ISSE.2019.8810176
URL: https://ieeexplore.ieee.org/document/8810176
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Mayr A., Masuch M., Kühl A.:
Innovations for the electric motor production of tomorrow: From new process technologies, automation solutions through to Industry 4.0 approaches
In: Automobiltechnologie in Bayern + e-Car 2019 (2019), S. 36-39
URL: https://media-mind.info/pdf/2019/automobil_engl_2019.pdf
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Schäfer F., Mayr A., Hess A., Zeiselmair C., Otten H., Franke J.:
Six Sigma 4.0: Data Mining als unterstützende Technologie im Null-Fehler-Management
In: Zeitschrift für wirtschaftlichen Fabrikbetrieb 114 (2019), S. 140-144
ISSN: 0932-0482
DOI: 10.3139/104.112047
URL: https://www.hanser-elibrary.com/doi/abs/10.3139/104.112047?journalCode=zwf
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Mayr A., Lutz B., Weigelt M., Gläßel T., Seefried J., Kißkalt D., Franke J.:
Elektromotorenproduktion 4.0: Potenziale des maschinellen Lernens in der Elektromotorenproduktion am Beispiel des Laserschweißens von Hairpins
In: Zeitschrift für wirtschaftlichen Fabrikbetrieb 114 (2019), S. 145-149
ISSN: 0932-0482
DOI: 10.3139/104.112051
URL: https://www.hanser-elibrary.com/doi/abs/10.3139/104.112051
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Mayr A., Masuch M., Kühl A.:
Innovationen für die Elektromotorenproduktion von morgen: Von neuen Prozesstechnologien, Automatisierungslösungen bis hin zu Industrie 4.0-Ansätzen
In: Automobiltechnologie in Bayern + e-Car 2019 (2019), S. 44-47
URL: https://media-mind.info/pdf/2019/automobil_deutsch_2019.pdf
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Schäffer E., Penczek L., Mayr A., Bakakeu Ngassam RJ., Franke J., Kuhlenkötter B.:
Digitalisierung im Engineering – Ein Ansatz für ein Vorgehensmodell zur durchgehenden, arbeitsteiligen Modellierung am Beispiel von AutomationML
In: Industrie 4.0 Management : Gegenwart und Zukunft industrieller Geschäftsprozesse 1.2019 (2019), S. 61-66
ISSN: 1434-1980
DOI: 10.30844/I40M_19-1_S61-66
URL: http://www.industrie-management.de/node/256
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Mahr A., Mayr A., Jung T., Franke J.:
Robot-assisted concept for assembling form coils in laminated stator cores of large electric motors
In: Procedia Manufacturing 38 (2019), S. 866-875
ISSN: 2351-9789
DOI: 10.1016/j.promfg.2020.01.168
URL: https://www.sciencedirect.com/science/article/pii/S2351978920301694
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Metzner M., Bickel B., Mayr A., Franke J.:
Simulation-Assisted Method for Evaluating Innovative Production Technologies for Electric Traction Motors
8th International Electric Drives Production Conference (EDPC) (Schweinfurt, Germany, 4. Dezember 2018 - 5. Dezember 2018)
In: IEEE (Hrsg.): 2018 8th International Electric Drives Production Conference (EDPC) 2018
DOI: 10.1109/EDPC.2018.8658353
URL: https://ieeexplore.ieee.org/document/8658353
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Kißkalt D., Mayr A., von Lindenfels J., Franke J.:
Towards a Data-Driven Process Monitoring for Machining Operations Using the Example of Electric Drive Production
8th International Electric Drives Production Conference (EDPC) (Schweinfurt, 4. Dezember 2018 - 5. Dezember 2018)
DOI: 10.1109/EDPC.2018.8658293
URL: https://ieeexplore.ieee.org/document/8658293
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Weigelt M., Mayr A., Masuch M., Batz K., Franke J., Bican P., Brem A., Russer JA., Russer P.:
Techno-Economic Evaluation of Strategic Solutions to Extend the Range of Electric Vehicles
8th International Electric Drives Production Conference (EDPC) (Schweinfurt, 4. Dezember 2018 - 5. Dezember 2018)
DOI: 10.1109/EDPC.2018.8658329
URL: https://ieeexplore.ieee.org/document/8658329
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Mayr A., Weigelt M., von Lindenfels J., Seefried J., Ziegler M., Mahr A., Urban N., Kühl A., Hüttel F., Franke J.:
Electric Motor Production 4.0 – Application Potentials of Industry 4.0 Technologies in the Manufacturing of Electric Motors
8th International Electric Drives Production Conference (EDPC) (Schweinfurt, 4. Dezember 2018 - 5. Dezember 2018)
DOI: 10.1109/EDPC.2018.8658294
URL: https://ieeexplore.ieee.org/document/8658294
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Meyer AW., von Lindenfels J., Mayr A., Franke J.:
Manufacturing Imperfections in Electric Motor Production with Focus on Halbach Array Permanent Magnet Rotor Assembly
8th International Electric Drives Production Conference (EDPC) (Schweinfurt, 4. Dezember 2018 - 5. Dezember 2018)
DOI: 10.1109/EDPC.2018.8658282
URL: https://ieeexplore.ieee.org/document/8658282
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Mayr A., Lutz B., Weigelt M., Gläßel T., Kißkalt D., Masuch M., Riedel A., Franke J.:
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. Dezember 2018 - 5. Dezember 2018)
DOI: 10.1109/EDPC.2018.8658346
URL: https://ieeexplore.ieee.org/document/8658346
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Weigelt M., Masuch M., Mayr A., Seefried J., Kühl A., Franke J.:
Automated and Flexible Production of Inductive Charging Systems as an Enabler for the Breakthrough of Electric Mobility
In: Schmitt, Robert; Schuh, Günther (Hrsg.): Advances in Production Research, Cham: Springer International Publishing, 2018, S. 300–309
DOI: 10.1007/978-3-030-03451-1_30
URL: https://link.springer.com/chapter/10.1007/978-3-030-03451-1_30
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Mayr A., Meyer AW., Schäffer E., Masuch M., von Lindenfels J., Mössinger G., Franke J.:
Towards a Knowledge-Based Design Methodology for Managing the Complexity in the Integrated Product and Process Development of Electric Motors
In: Schmitt, Robert; Schuh, Günther (Hrsg.): Advances in Production Research, Cham: Springer International Publishing, 2018, S. 112–125
DOI: 10.1007/978-3-030-03451-1_12
URL: https://link.springer.com/chapter/10.1007/978-3-030-03451-1_12
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Mayr A., Weigelt M., Masuch M., Adrion M., Bauer A., Wirsinger K., Franke J.:
Sustainability Aspects of Current Market Developments, Different Product Types and Innovative Manufacturing Processes of Electric Motors
Integration of Sustainable Energy Conference (iSEneC) (Nuremberg, 17. Juli 2018 - 18. Juli 2018)
In: Applied Mechanics and Materials, Vol. 882 2018
DOI: 10.4028/www.scientific.net/AMM.882.64
URL: https://www.scientific.net/AMM.882.64
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Mayr A., Meyer AW., Masuch M., Braun A., Franke J.:
Towards a Software System Providing Knowledge about Energy and Resource Efficiency Potentials within the Product and Process Development of Electric Drives
Integration of Sustainable Energy Conference (iSEneC) (Nuremberg, 17. Juli 2018 - 18. Juli 2018)
In: Applied Mechanics and Materials, Vol. 882 2018
DOI: 10.4028/www.scientific.net/AMM.882.53
URL: https://www.scientific.net/AMM.882.53
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Mayr A., Weigelt M., Masuch M., Meiners M., Hüttel F., Franke J.:
Application Scenarios of Artificial Intelligence in Electric Drives Production
4th International Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production (Hannover, 19. Juni 2018 - 20. Juli 2018)
In: Procedia Manufacturing, Volume 24 2018
DOI: 10.1016/j.promfg.2018.06.006
URL: http://www.sciencedirect.com/science/article/pii/S2351978918305237
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Weigelt M., Mayr A., Seefried J., Heisler P., Franke J.:
Conceptual design of an intelligent ultrasonic crimping process using machine learning algorithms
28th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2018) (Columbus, OH, 11. Juni 2018 - 14. Juni 2018)
In: 28th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2018) 2018
DOI: 10.1016/j.promfg.2018.10.015
URL: https://www.sciencedirect.com/science/article/pii/S2351978918311314
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Mayr A., Weigelt M., Kühl A., Grimm S., Erll A., Potzel M., Franke J.:
Lean 4.0 - A conceptual conjunction of lean management and Industry 4.0
51st CIRP Conference on Manufacturing Systems (Stockholm, Sweden, 16. Mai 2018 - 18. Mai 2018)
In: Procedia CIRP, Volume 72 2018
DOI: 10.1016/j.procir.2018.03.292
URL: https://www.sciencedirect.com/science/article/pii/S2212827118304736
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Weigelt M., Mayr A., Franke J.:
Vergleich alternativer Technologien zur Reichweitenverlängerung von Elektrofahrzeugen
7. Conference on Future Automotive Technology (Fürstenfeldbruck, 8. Mai 2018 - 9. Mai 2018)
In: 7th Conference on Future Automotive Technology (CoFAT) 2018
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Weigelt M., Mayr A., Böhm R., Kühl A., Franke J.:
Quo vehis, Elektromobilität?
In: Zeitschrift für wirtschaftlichen Fabrikbetrieb 113 (2018), S. 59-63
ISSN: 0932-0482
DOI: 10.3139/104.111863
URL: http://www.hanser-elibrary.com/doi/pdf/10.3139/104.111863
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Weigelt M., Mayr A., Böhm R., Kühl A., Franke J.:
Quo vehis, Electromobility?
In: Zeitschrift für wirtschaftlichen Fabrikbetrieb 113 (2018), S. 59-63
ISSN: 0932-0482
DOI: 10.3139/104.111863
URL: https://www.hanser-elibrary.com/doi/abs/10.3139/104.111863
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Weigelt M., Mayr A., Kühl A., Batz K., Bican P., Russer JA., Russer P., Franke J.:
Techno-Economic Evaluation of Technological Alternatives to Extend the Range of Electric Vehicles
5th Annual Conference on Electric Roads & Vehicles (Park City, Utah, 26. Februar 2018 - 27. Februar 2018)
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(anderer)
Kühl A., Mayr A., Masuch M.:
Produktionstechnologien für die Antriebe der Zukunft: Anwendungsorientierte Forschung am E|Drive-Center des Lehrstuhls FAPS in Nürnberg
In: Automobiltechnologie in Bayern + e-Car 2018 (2018), S. 42–45
URL: https://media-mind.info/pdf/2018/auto_deutsch_2018-19.pdf
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(anderer)
Mayr A., Meyer AW., Gönnheimer P., Gramlich J., Reiser M., Franke J.:
Concept for an integrated product and process development of electric drives using a knowledge-based system
7th International Electric Drives Production Conference (EDPC) (Würzburg, Germany, 5. Dezember 2017 - 6. Dezember 2017)
In: 2017 7th International Electric Drives Production Conference (EDPC) 2017
DOI: 10.1109/EDPC.2017.8328157
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8328157&isnumber=8328136
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Meyer AW., Mayr A., Malygin N., Zhang Y., Franke J.:
Selective magnet assembly assisted by an automated warehouse system: Algorithms, performance and industry 4.0 readyness
7th International Electric Drives Production Conference (EDPC) (Würzburg, Germany, 5. Dezember 2017 - 6. Dezember 2017)
In: 2017 7th International Electric Drives Production Conference (EDPC) 2017
DOI: 10.1109/EDPC.2017.8328160
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8328160&isnumber=8328136
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Mayr A., Meyer AW., Seefried J., Weigelt M., Lutz B., Sultani D., Hampl M., Franke J.:
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. Dezember 2017 - 6. Dezember 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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