Marco Maggipinto, Gian Antonio Susto, Federico Zocco, Seán F. McLoone
What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction
CASE, 2019.
@inproceedings{CASE-2019-MaggipintoSZM,
author = "Marco Maggipinto and Gian Antonio Susto and Federico Zocco and Seán F. McLoone",
booktitle = "{Proceedings of the 15th International Conference on Automation Science and Engineering}",
doi = "10.1109/COASE.2019.8842942",
isbn = "978-1-7281-0356-3",
pages = "1796--1801",
publisher = "{IEEE}",
title = "{What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction}",
year = 2019,
}











