Andreas Mayr

About Andreas Mayr

Andreas Mayr, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg, specializes in the field of Artificial Intelligence, Machine Learning, Manufacturing, Automation, Electric Drives.

His recent articles reflect a diverse array of research interests and contributions to the field:

Data-driven quality monitoring of needle winding processes in electric motor production using machine learning techniques

Kennzahlenbasiertes F & E-Controlling im Kontext der Elektromobilität: Methodische Erarbeitung eines Kennzahlengerüsts für das operative F & E-Controlling am Beispiel eines …

A microservice-based architecture for flexible data acquisition at the edge in the context of hairpin stator production

Process-driven approach within the engineering domain by combining business process model and notation (BPMN) with process engines

In-situ identification of material batches using machine learning for machining operations

A strategic approach to improve the development of use-oriented knowledge-based engineering configurators (KBEC)

Data-driven quality monitoring of bending processes in hairpin stator production using machine learning techniques

Model improvement through real data connection for Virtual commissioning in ramp-up management of scalable production systems

Andreas Mayr Information

University

Position

Institute for Factory Automation and Production Systems (FAPS)

Citations(all)

1243

Citations(since 2020)

1196

Cited By

425

hIndex(all)

15

hIndex(since 2020)

14

i10Index(all)

30

i10Index(since 2020)

30

Email

University Profile Page

Friedrich-Alexander-Universität Erlangen-Nürnberg

Google Scholar

View Google Scholar Profile

Andreas Mayr Skills & Research Interests

Artificial Intelligence

Machine Learning

Manufacturing

Automation

Electric Drives

Top articles of Andreas Mayr

Title

Journal

Author(s)

Publication Date

Data-driven quality monitoring of needle winding processes in electric motor production using machine learning techniques

Procedia CIRP

Andreas Mayr

Fabian Scheffler

Robert Fuder

Tim Raffin

Dominik Kißkalt

...

2023/1/1

Kennzahlenbasiertes F & E-Controlling im Kontext der Elektromobilität: Methodische Erarbeitung eines Kennzahlengerüsts für das operative F & E-Controlling am Beispiel eines …

Zeitschrift für wirtschaftlichen Fabrikbetrieb

Andreas Mayr

Christian Rommel

Veronika Schaller

Jörg Franke

2022/3/10

A microservice-based architecture for flexible data acquisition at the edge in the context of hairpin stator production

Tim Raffin

Andreas Mayr

Jonathan Fuchs

Marcel Baader

Andreas Morello

...

2021/12/7

Process-driven approach within the engineering domain by combining business process model and notation (BPMN) with process engines

Procedia CIRP

Eike Schäffer

Volker Stiehl

Peter K Schwab

Andreas Mayr

Josef Lierhammer

...

2021/1/1

In-situ identification of material batches using machine learning for machining operations

Journal of Intelligent Manufacturing

Benjamin Lutz

Dominik Kisskalt

Andreas Mayr

Daniel Regulin

Matteo Pantano

...

2021/6

A strategic approach to improve the development of use-oriented knowledge-based engineering configurators (KBEC)

Procedia CIRP

Eike Schäffer

Sara Shafiee

Andreas Mayr

Jörg Franke

2021/1/1

Data-driven quality monitoring of bending processes in hairpin stator production using machine learning techniques

Procedia CIRP

Andreas Mayr

Philipp Röll

Daniel Winkle

Maximilian Enzmann

Benjamin Bickel

...

2021/1/1

Model improvement through real data connection for Virtual commissioning in ramp-up management of scalable production systems

Procedia CIRP

Achim Kampker

Saskia Wessel

Nicolas Lutz

Simon Heine

Andreas Mayr

...

2021/1/1

Process curve analysis with machine learning on the example of screw fastening and press-in processes

Procedia Cirp

Moritz Meiners

Andreas Mayr

Jörg Franke

2021/1/1

Potentials of optical coherence tomography for process monitoring in laser welding of hairpin windings

Marcel Baader

Andreas Mayr

Tim Raffin

Jan Selzam

Alexander Kühl

...

2021/12/7

Towards an intelligent linear winding process through sensor integration and machine learning techniques

Procedia CIRP

Andreas Mayr

Dominik Kißkalt

Alexander Lomakin

Knut Graichen

Jörg Franke

2021/1/1

ForeSight-AI-based smart living platform approach

Current Directions in Biomedical Engineering

Jochen Bauer

Michael Hechtel

Christoph Konrad

Martin Holzwarth

Andreas Mayr

...

2020/9/1

ForeSight-An AI-driven smart living platform, approach to add access control to openHAB

Jochen Bauer

Michael Hechtel

Christoph Konrad

Martin Holzwarth

Hilko Hoffmann

...

2020/6/23

Smart use case picking with DUCAR: a hands-on approach for a successful integration of machine learning in production processes

Procedia Manufacturing

Franziska Schäfer

Andreas Mayr

Erik Schwulera

Jörg Franke

2020/1/1

Towards an inline quality monitoring for crimping processes utilizing machine learning techniques

Moritz Meiners

Andreas Mayr

Marlene Kuhn

Bernhard Raab

Jörg Franke

2020/12/8

Procedia CIRP

Giuseppe Ingarao

Omer Zaheer

Davide Campanella

Rosa Di Lorenzo

Livan Fratini

2020

Prediction of the Joint Cross-Section of Laser-Welded Hairpin Windings Based on 2D Image Data Using Convolutional Neural Networks

Andreas Mayr

Luka Hauck

Moritz Meiners

Jörg Franke

2020/12/8

Streamlining the development of data-driven industrial applications by automated machine learning

Procedia CIRP

Dominik Kißkalt

Andreas Mayr

Benjamin Lutz

Annelie Rögele

Jörg Franke

2020/1/1

Optimization of direct winding processes based on a holistic control approach

Alexander Lomakin

Andreas Mayr

Knut Graichen

Jörg Franke

2020/12/8

Application of machine learning for product batch oriented control of production processes

Procedia CIRP

Moritz Meiners

Andreas Mayr

Maximilian Thomsen

Jörg Franke

2020/1/1

See List of Professors in Andreas Mayr University(Friedrich-Alexander-Universität Erlangen-Nürnberg)

Co-Authors

H-index: 39
Jörg Franke

Jörg Franke

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 13
Alexander Kühl

Alexander Kühl

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 12
Jonathan Fuchs

Jonathan Fuchs

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 11
Dr. Eike Wolfram Schäffer

Dr. Eike Wolfram Schäffer

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 10
Dominik Kißkalt

Dominik Kißkalt

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 9
Maximilian Metzner

Maximilian Metzner

Friedrich-Alexander-Universität Erlangen-Nürnberg

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