Data Analytics 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 predictive maintenance approach for UPS systems, leveraging data analytics and machine learning techniques.

Project Overview

The goal of this project is to design and implement a predictive maintenance system for UPS systems. This involves investigating UPS topology, determining characteristics for lifetime estimation of critical components, and creating a model for lifetime prediction based on measured characteristics.

Responsibilities
  • Conduct literature research and provide an overview of the state of the art in predictive maintenance
  • Investigate UPS topology and determine characteristics for lifetime estimation of critical components
  • Implement data storage and transmission from the UPS
  • Develop a model for lifetime prediction of critical components based on measured characteristics
  • Investigate AI algorithms to improve lifetime prediction
Requirements
  • Ability to work in a team and good communication skills
  • Ongoing studies with a focus on electrical engineering
  • Openness and flexibility to challenges
  • Ability to organize independently
  • Ability to work independently and conscientiously
  • Experience with simulation tools like Matlab or Octave
  • Knowledge in microcontroller programming
What We Offer
  • A dynamic and innovative work environment
  • A collaborative team of experts in the field of energy supply
  • Opportunities for professional growth and development
  • A comprehensive induction program
  • A modern and well-equipped workspace

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