Institute of Information Theory and Automation
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Probabilistic Bayesian soft sensor - a tool for on-line estimation of the key process variable in cold rolling mills 2009

Department: AS
Duration: 2009-2012

Abstract:

The project aims to develop a novel on-line estimator of the key process variable in rolling mills by mixing multiple models with different sensitivities to inaccuracy in process data. The approach relies on the systematic treatment of uncertainty and merging of all available information.
Responsible for information: general
Last modification: 15.10.2009
Institute of Information Theory and Automation