Data Analytics Expert for Predictive Maintenance
vor 2 Wochen
Unlock the Future of Predictive Maintenance
We are seeking a highly motivated and skilled data analytics expert to join our team and contribute to the development of advanced predictive maintenance solutions for our UPS systems.
About the Project
The goal of this project is to design and implement a predictive maintenance approach that utilizes data analytics and machine learning algorithms to optimize maintenance intervals and ensure operational reliability.
Key Responsibilities
- Conduct literature research and analyze 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 investigated components based on measured characteristics from the UPS
- Explore AI algorithms to improve lifetime prediction
Requirements
- Ability to work in a team and excellent 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 competitive salary and benefits package
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