Abstract
This paper discusses data-based operating windows as a
tool for process management and development. In
particular identification of the operating window and its
uncertainty are analyzed. The operating window is
determined by maximizing either the mutual information
(static) or entropy transfer (dynamic). An industrial
example shows that the entropy of the indicator variable
is reduced to half by an operating window specified with
only few variables, selected amongst over 3000
candidates. Test model based simulations suggest that
such few-variable operating windows can be reliably
identified from datasets having lengths of a few thousand
observations.
Original language | English |
---|---|
Title of host publication | Proceedings of the 23rd European Symposium on Computer Aided Process Engineering |
Editors | Andrzej Kraslawski, Ilkka Turunen |
Publisher | Elsevier |
Pages | 625-630 |
ISBN (Electronic) | 978-0-444-63241-8 |
ISBN (Print) | 978-0-444-63234-0 |
DOIs | |
Publication status | Published - 2013 |
MoE publication type | A4 Article in a conference publication |
Event | 23rd European Symposium on Computer Aided Process Engineering, ESCAPE 23 - Lappeenranta, Finland Duration: 9 Jun 2013 → 12 Jun 2013 Conference number: 23 |
Publication series
Series | Computer Aided Chemical Engineering |
---|---|
Volume | 32 |
ISSN | 1570-7946 |
Conference
Conference | 23rd European Symposium on Computer Aided Process Engineering, ESCAPE 23 |
---|---|
Abbreviated title | ESCAPE 23 |
Country | Finland |
City | Lappeenranta |
Period | 9/06/13 → 12/06/13 |
Keywords
- process management
- oprating window
- mutual information
- transfer entropy
- uncertainty