Bayes for Rolling Mills: From Parameter Estimation to Decision Support
| Authors: | Ettler Pavel, COMPUREG Plzen, s.r.o., Czech Republic
Karny Miroslav, UTIA, Czech Academy of Sciences, Czech Republic
Guy Tatiana Valentine, UTIA, Czech Academy of Sciences, Czech Republic |
|---|
| Topic: | 6.2 Mining, Mineral & Metal Processing |
|---|
| Session: | Rolling Mills I |
|---|
| Keywords: | Industrial control, probabilistic models, system identification, hypotheses, decision support systems |
|---|
Abstract
The paper shares experience gained in application of dynamicBayesian approach to control problems in the field of metalrolling. The contribution introduces basic notions of theoryapplied and provides the algorithmic as well asapplication-oriented solutions developed. Specifically, theconsistent use of the approach resulted in an advanced decisionsupport system for operators of a reversing cold rolling mill.
