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 | 23rd European Symposium on Computer Aided Process Engineering |
| Editors | Andrzej Kraslawski, Ilkka Turunen |
| Publisher | Elsevier |
| Pages | 625-630 |
| ISBN (Print) | 978-0-444-63234-0 |
| DOIs | |
| Publication status | Published - 2013 |
| MoE publication type | A4 Article in a conference publication |
Publication series
| Series | Computer Aided Chemical Engineering |
|---|---|
| Volume | 32 |
| ISSN | 1570-7946 |
Keywords
- mutual information
- operating window
- process management
- transfer entropy
- uncertainty
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Cite this
Ihalainen, H., Ritala, R., & Saarela, O. (2013). Reliability of operating window identified from process data. In A. Kraslawski, & I. Turunen (Eds.), 23rd European Symposium on Computer Aided Process Engineering (pp. 625-630). Elsevier. Computer Aided Chemical Engineering, Vol.. 32 https://doi.org/10.1016/B978-0-444-63234-0.50105-6