Topic 1: Implementing Machine Learning Algorithms to predict a lifespan of saw blade

Toolbot is a new rental company for hight quality professional craft tools like circular saw. In this Bachelor thesis you are going to predict a lifespan of saw blade using collected data (pictures of saw blade with worn / missing teeth) from the company or introducing possible new data from additional sensors.

(Bachelor Thesis – immediately – 4 months)

Motivation:

You would be working with real case data in cooperation with Cottbus Start-up Toolbot. You would be learning the latest machine learning and AI algorithms and cloud solutions for industrial applications.

Research Question:

Based on the collected data you should find a solution to determine the state of the machine and predict its lifespan. Suitable machine learning algorithms for predictive maintenance should be evaluated. The solution can be implemented on GCP.

Requirements:

Interested students should have

  • Understood the concept of predictive maintenance,
  • A general understanding of machine learning and AI,
  • Experience with Google Cloud Platform (GCP) is recommended.

Recommended modules:

  • 11374 | Einführung in die Künstliche Intelligenz
  • 12351 | Grundlagen des Data Mining
  • 11331 | Mathematische Statistik

Supervisor:

  • Dr. Svetlana Meissner (Svetlana.Meissner@b-tu.de)

Contact:

  • Elisabeth Vogel M.Sc. (vogel@ihp-microelectronics.com)

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