Mechanical and Systems Engineering Marcel Braig, B.Sc., M.Eng.

Condition monitoring and diagnosis of technical systems

Prognostics and Health Management (PHM)

Machine Learning

By arrangement

since March 2021: Research assistant at the Faculty of Machines and Systems

2021: Graduation as Master of Engineering in the study program "Mechatronics / Systems Engineering" at Aalen University and Esslingen University

2019: Graduation as Bachelor of Science in the study program "Technology Development" at Ravensburg-Weingarten University (RWU)

Braig, M.; Mauthe, F.; Zeiler, P. (2025): A Study on the Use of Simulation Data for Data-Driven Fault Diagnosis of Various Rolling Bearings Using Transfer Learning. Proceedings of the 35th European Safety and Reliability Conference and the 33rd Society for Risk Analysis Europe Conference, 15.06. – 19.06.2025, Stavanger, Norway, DOI: 10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8201-cd

Braig, M.; Zeiler, P. (2025): A Study on Using Transfer Learning to Utilize Information From Similar Systems for Data-Driven Condition Diagnosis and Prognosis. IEEE Access, Volume 13, pp. 98485-98503, DOI: 10.1109/ACCESS.2025.3576435 

Braig, M.; Zeiler, P. (2025):Anwendung von Transferlernen zur Nutzung von Wissen ähnlicher Systeme für datengetriebene Prognosen der verbleibenden nutzbaren Lebensdauer. 32. Fachtagung Technische Zuverlässigkeit 2025, 09.-10.04.2025, Nürtingen, VDI-Berichte 2448, ISBN: 978-3-18-092448-9 

Braig, M.; Zeiler, P. (2024): A Study on the Effectiveness of Time Series Similarity Measures for the Comparison of Degradation Curves of Similar Engineering Systems. IEEE Access, Volume 12, pp. 49602-49623, DOI: 10.1109/ACCESS.2024.3384697 

Mauthe, F.; Braig, M.; Zeiler, P. (2023):Evaluierung der Güte von datengetriebenen Methoden zur Lebensdauerprognose technischer Systeme unter Berücksichtigung von Zeitreihencharakteristiken. 31. Fachtagung Technische Zuverlässigkeit 2023, 26.-27.04.2023, Nürtingen, VDI-Berichte 2409, ISBN: 978-3-18-092409-0 

Braig, M.; Zeiler, P. (2022/23): Using Data From Similar Systems for Data-Driven Condition Diagnosis and Prognosis of Engineering Systems: A Review and an Outline of Future Research Challenges. IEEE Access, Volume 11, pp. 1506-1554, DOI: 10.1109/ACCESS.2022.3233220 

Mauthe, F.; Braig, M.; Zeiler, P. (2022): Performance Evaluation of Neural Network Architectures on Time Series Condition Data for Remaining Useful Life Prognosis Under Defined Operating Conditions, Proceedings of the 32nd European Safety and Reliability Conference, DOI: 10.3850/978-981-18-5183-4_R22-07-121-cd

Institute for Technical Reliability and Prognostics (IZP), Prof. Dr.-Ing. Peter Zeiler