Institute of Information Theory and Automation

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

Project leader: RNDr. Ladislav Jirsa, Ph.D.
Department: AS
Supported by (ID): MŠMT 7D09008
Grantor: Ministry of Education, Youth and Sports
Type of project: applicational
Duration: 2009 - 2012
Details: here
Publications at UTIA: list

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.

Project team:
Responsible for information: AS
Last modification: 16.04.2012
Institute of Information Theory and Automation