Marcel Braig

Marcel Braig serves as a Researcher at the Faculty of Machines and Systems, Esslingen University of Applied Sciences, where he has worked as a Research Associate since March 2021. His research bridges machine learning and engineering reliability within the Institute for Technical Reliability and Prognostics (IZP) under Prof. Dr.-Ing. Peter Zeiler.

His educational background includes:

• Master of Engineering in Mechatronics / Systems Engineering (2021) from Aalen University of Applied Sciences and Esslingen University of Applied Sciences
• Bachelor of Science in Technology Development (2019) from Ravensburg-Weingarten University of Applied Sciences

Braig specializes in data-driven condition monitoring and prognostics for technical systems, with core expertise in transfer learning applications to overcome data scarcity. His work focuses on fault diagnosis of mechanical components like rolling bearings and remaining useful life prediction by leveraging knowledge from similar systems. This research directly addresses industrial challenges in predictive maintenance and system reliability through advanced machine learning techniques.

His 2022-2025 publications reveal a consistent trajectory in applying transfer learning to engineering prognostics, evolving from foundational reviews to specific applications in bearing fault diagnosis and degradation curve analysis. Key trends include the systematic comparison of time series similarity measures, evaluation of neural network architectures under operational constraints, and innovative use of simulation data to augment real-world datasets.

As a core member of the IZP research team, Braig collaborates closely with Prof. Zeiler and colleagues like F. Mauthe on developing practical PHM solutions for industrial engineering systems, with consultation hours available by appointment.