I identified process conditions affecting the production of defective products in injection molding and die-casting manufacturing.
During my time as a postdoctoral researcher in my laboratory at Kyung Hee University, I participated in several projects in the area of Smart Manufacturing. I present the major research achievements below.
Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process
Ensemble learning models can predict the quality in the injection molding process.
Rule-based explanations are developed for interpreting the ensemble models.
The method generates decision rules and visualizes them with PDP and ICE plots.