Reliability of operating window identified from process data

Heimo Ihalainen; Risto Ritala; Olli Saarela

doi:10.1016/B978-0-444-63234-0.50105-6

Reliability of operating window identified from process data

Heimo Ihalainen, Risto Ritala, Olli Saarela

Tampere University of Technology (TUT)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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 (Electronic)	978-0-444-63241-8
ISBN (Print)	978-0-444-63234-0
DOIs	https://doi.org/10.1016/B978-0-444-63234-0.50105-6
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/Territory	Finland
City	Lappeenranta
Period	9/06/13 → 12/06/13

Keywords

process management
oprating window
mutual information
transfer entropy
uncertainty

Access to Document

10.1016/B978-0-444-63234-0.50105-6

https://publications.vtt.fi/julkaisut/muut/2013/OA-ReliabililtyOfOperating.pdf

Cite this

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title = "Reliability of operating window identified from process data",

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.",

keywords = "process management, oprating window, mutual information, transfer entropy, uncertainty",

author = "Heimo Ihalainen and Risto Ritala and Olli Saarela",

year = "2013",

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language = "English",

isbn = "978-0-444-63234-0",

series = "Computer Aided Chemical Engineering",

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editor = "Andrzej Kraslawski and Ilkka Turunen",

booktitle = "23rd European Symposium on Computer Aided Process Engineering",

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note = "23rd European Symposium on Computer Aided Process Engineering, ESCAPE 23, ESCAPE 23 ; Conference date: 09-06-2013 Through 12-06-2013",

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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. Elsevier, Computer Aided Chemical Engineering, vol. 32, pp. 625-630, 23rd European Symposium on Computer Aided Process Engineering, ESCAPE 23, Lappeenranta, Finland, 9/06/13. https://doi.org/10.1016/B978-0-444-63234-0.50105-6

Reliability of operating window identified from process data. / Ihalainen, Heimo; Ritala, Risto; Saarela, Olli.

23rd European Symposium on Computer Aided Process Engineering. ed. / Andrzej Kraslawski; Ilkka Turunen. Elsevier, 2013. p. 625-630 (Computer Aided Chemical Engineering, Vol. 32).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Reliability of operating window identified from process data

AU - Ihalainen, Heimo

AU - Ritala, Risto

AU - Saarela, Olli

N1 - Conference code: 23

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - process management

KW - oprating window

KW - mutual information

KW - transfer entropy

KW - uncertainty

UR - https://www.sciencedirect.com/bookseries/computer-aided-chemical-engineering/vol/32/suppl/C

U2 - 10.1016/B978-0-444-63234-0.50105-6

DO - 10.1016/B978-0-444-63234-0.50105-6

M3 - Conference article in proceedings

SN - 978-0-444-63234-0

T3 - Computer Aided Chemical Engineering

SP - 625

EP - 630

BT - 23rd European Symposium on Computer Aided Process Engineering

A2 - Kraslawski, Andrzej

A2 - Turunen, Ilkka

PB - Elsevier

T2 - 23rd European Symposium on Computer Aided Process Engineering, ESCAPE 23

Y2 - 9 June 2013 through 12 June 2013

ER -

Reliability of operating window identified from process data

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Keywords

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