Project / Bachelor / Master thesis: Avoid catastrophic consequential damage with machine learning prediction
Webseite Institut für Maschinenelemente und Systementwicklung
The Institute of Machine Elements and System Engineering researches the fundamental structural and tribological behavior of machine elements and represents them in experimentally validated model descriptions. These model descriptions are used to analyze and design the functional, loss and noise behavior of entire technical systems with a focus on drive technology. The developed models are also used to research and develop methods of Model Based Systems Engineering as a central element of future inductive product development processes.
Condition monitoring and predictive maintenance are technological innovations and key factors for sustainable success in various industrial sectors. By continuously monitoring the condition of machines and systems and predicting possible failures, companies can minimize production losses and avoid consequential damage to other components. As part of the student research project, a concept for forecasting the remaining service life is to be developed. This allows maintenance measures to be planned in good time and costs to be saved.
Tasks:
- Literature research on the state of the art and research
- Optional performance of experimental tests
- Identification of suitable statistical methods
- Model construction and validation
Requirements:
- Interest in new technologies and condition monitoring
- Initial experience in scientific writing is desirable
- Independent and reliable way of working
- Good knowledge of German and English
We offer:
- Currently relevant and future-oriented problems
- Flexible organization of the work focus
- Intensive support in the form of weekly regular meetings
- Pleasant working atmosphere
- Immediate start or by arrangement
- Possibility of continued employment following the final thesis
I will be happy to discuss any unanswered questions about your thesis in a personal meeting.
Auf deine aussagekräftige Bewerbung per E-Mail freut sich:
Florian Wirsing, M. Sc. RWTH
Institut für Maschinenelemente und Systementwicklung
Schinkelstraße 10, 52062 Aachen
florian.wirsing@imse.rwth-aachen.de
Um sich für diesen Job zu bewerben, sende deine Unterlagen per E-Mail an florian.wirsing@imse.rwth-aachen.de