Data Analytics Predictive Maintenance Specialist
Vor 3 Tagen
We are seeking a highly motivated and skilled student to complete their final thesis with us. The project focuses on developing a data-driven approach to predict the lifetime of critical components in our UPS systems.
Project Overview
- Investigate the state of the art in predictive maintenance and literature research
- Determine the characteristics of UPS topology for lifetime estimation of critical components
- Implement data storage and transmission from the UPS
- Develop a model for lifetime prediction of investigated components based on measured characteristics
- Explore AI algorithms to improve lifetime prediction
Requirements
- Ability to work independently and as part of a team
- Ongoing studies in electrical engineering
- Openness to challenges and flexibility
- Ability to organize and work independently
- Experience with simulation tools like Matlab or Octave
- Knowledge in microcontroller programming
What We Offer
- A global company with a rich history and modern approach
- A dynamic team environment
- Opportunity to work on cutting-edge technologies and contribute to their development
- Exciting tasks in the field of energy supply and transition
- Excellent working atmosphere and space for ideas
- A positive welcome culture and induction by experienced colleagues
- A modern canteen with a wide selection and free fruit and water
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