Data Analytics Predictive Maintenance Specialist

vor 1 Woche


Warstein, Nordrhein-Westfalen, Deutschland AEG Power Solutions Vollzeit
Bachelor/Master Thesis: Data Analytics for Predictive Maintenance

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 dynamic and innovative company at the forefront of energy supply
  • A modern team environment with opportunities for growth
  • Exciting tasks in the field of energy transition
  • Excellent working atmosphere and space for ideas
  • A positive welcome culture and induction by experienced colleagues
  • A large canteen with a wide selection


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