Short-Text:
Generating process feedback from heterogeneous data sources in quality control
The goal of this three-years project under the scope of "IKT of the Future" funding line by FFG is to develop machine learning methods based on system identification, time-series models, causal relations and classifiers that merge all the heterogeneous data sources to automatically determine potential cause(s) for defects.
Additionally, changes in the process can be detected and monitored, before they actually
cause defects. This requires research on the following topics: