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, Seán F. McLoone. What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction. In 15th IEEE International Conference on Automation Science and Engineering, CASE 2019, Vancouver, BC, Canada, August 22-26, 2019. pages 1796-1801, IEEE, 2019. [doi]

Abstract

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