Adaptive soft sensor for product quality estimation in clinker production
Presentation on adaptive soft-sensing for the quality indices of clinker production. Development of an adaptive soft-sensing framwork based on PLS which is integrated into two different hyperparameter selection paradigms: ensemble learning and optimisation, namely Bayesian Optimisation.
Authors
- Pierantonio Facco (ORCID: https://orcid.org/0000-0001-8383-6783)
- Fabrizio Bezzo (ORCID: https://orcid.org/0000-0003-1561-0584)
- W.R. Leal da Silva (ORCID: https://orcid.org/0000-0001-9895-5128)
- Mihnea Stefan (ORCID: https://orcid.org/0009-0006-2898-4023)
Institutions
- University of Padua (IT)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-09
- DOI
- https://doi.org/10.5281/zenodo.24088337
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00