Andreas Rauscher, M. Eng.

Research

Main research

• Partial discharge testing
  • Indentification and elimination of disturbing influences
  • Improvement of sensor technology and analysis algorithms

Current projects

• Partial discharge testing on electrical machines

Vita

• since 2019: Research assistant in the research group ELS at the Institute of Innovative Mobility at the Technische Hochschule Ingolstadt
• 2018-2019: Master’s programme Electrical Engineering for Mobile Systems at the Technische Hochschule Ingolstadt, Degree: Master of Engineering (M.Eng.)
• 2014-2018: Bachelor’s programme Electrical Engineering and Electric Mobility at the Technische Hochschule Ingolstadt, Degree: Bachelor of Engineering (B.Eng.)

Publications

• A. Rauscher, J. Kaiser, M. Devaraju, C. Endisch, Deep learning and data augmentation for partial discharge detection in electrical machines, Engineering Applications of Artificial Intelligence, Volume 133 (2024). https://doi.org/10.1016/j.engappai.2024.108074.
• A. Rauscher, M. Hufnagel, C. Endisch, Pareto optimization of wavelet filter design for partial discharge detection in electrical machines, Measurement, Volume 205 (2022). https://doi.org/10.1016/j.measurement.2022.112163.
• J. Stöttner, A. Rauscher, C. Endisch, Pareto optimization of multilevel inverter structures regarding the DC magnitude, switching frequency and switching angles, International Journal of Electrical Power & Energy Systems, Volume 142, Part A (2022). https://doi.org/10.1016/j.ijepes.2022.108259.