Webseite Institute for Machine Elements and Systems Engineering

The Institute for Machine Elements and Systems Engineering researches the basic structural and tribological behavior of machine elements and maps this in experimentally validated model descriptions. These model descriptions are used to analyze and design the functional, loss and noise behavior of overall technical systems with a focus on drive technology. The developed models also serve the research and development of methods of Model Based Systems Engineering as a central element of future industrial product development processes.

Acoustic emission (AE) technique is employed in condition monitoring systems (CMS).The conventional methods for signal processing and analysis is computationally costly and requires extensive expert knowledge. At MSE, a machine learning approach has been developed that simplifies the complex signal processing. This opens the room for edge computed AE-CMS.

The aim of this thesis work is to develop and test a microcontroller-based AE-CMSthat evaluates system health on single-board computers such as Raspberry Pi.


  • Research on relevant AE-signal processing strategies
  • Implementation of the interface communication between AE-sensors, microcontroller and single-board computer, e.g. Raspberry Pi in Python
  • Design, test and validation of a prototype sensor system


  • Independent and reliable way of working
  • Interest in drive technology and interdisciplinary issues
  • Previous knowledge of Matlab or Python is an advantage, but not absolutely necessary

We offer:

  • Flexible working times
  • Full support during your work process
  • Fast processing of project work possible
  • Positive and productive working atmosphere

We look forward to your application by email:

Florian König, M. Sc. RWTH
Institute for Machine Elements and Systems Engineering

Schinkelstraße 10, 52062 Aachen



Um sich für diesen Job zu bewerben, sende deine Unterlagen per E-Mail an florian.koenig@imse.rwth-aachen.de