Domain-driven Machine Learning-based reactive fault detection in manufacturing systems

This project aims to effectively include domain expertise within the machine learning lifecycle on reactive fault detection in manufacturing systems. A collaboration between machine learning and domain experts is proposed by a framework, in which the results are expected to be enhanced by regarding automation and industry 4.0 technologies in each phase of the machine learning lifecycle. 

Research Questions

The overall objective of this project is the development of a collaborative framework between machine learning and domain experts for reactive fault detection in manufacturing systems. This research will encompass:

• The development of a domain-based machine learning lifecycle approach

• Possible and useful collaboration between machine learning and domain experts in each phase of the lifecycle.

• The use of digitalisation and industry 4.0 technologies to enhance the results of the developed fault detection system