What are the most informative data for virtual metrology? a use case on multi-stage processes fault prediction

Marco Maggipinto, Gian Antonio Susto, Federico Zocco, Sean McLoone

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 results
- Title(descending)
- Award date

Advances in machine learning for sustainable manufacturing
Author: Zocco, F., Dec 2021
Supervisor: Liu, X. (Supervisor) & McLoone, S. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy