Reliability of operating window identified from process data

Heimo Ihalainen, Risto Ritala, Olli Saarela

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-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 languageEnglish
    Title of host publicationProceedings of the 23rd European Symposium on Computer Aided Process Engineering
    EditorsAndrzej Kraslawski, Ilkka Turunen
    PublisherElsevier
    Pages625-630
    ISBN (Electronic)978-0-444-63241-8
    ISBN (Print)978-0-444-63234-0
    DOIs
    Publication statusPublished - 2013
    MoE publication typeA4 Article in a conference publication
    Event23rd European Symposium on Computer Aided Process Engineering, ESCAPE 23 - Lappeenranta, Finland
    Duration: 9 Jun 201312 Jun 2013
    Conference number: 23

    Publication series

    SeriesComputer Aided Chemical Engineering
    Volume32
    ISSN1570-7946

    Conference

    Conference23rd European Symposium on Computer Aided Process Engineering, ESCAPE 23
    Abbreviated titleESCAPE 23
    CountryFinland
    CityLappeenranta
    Period9/06/1312/06/13

    Fingerprint

    Entropy
    Uncertainty

    Keywords

    • process management
    • oprating window
    • mutual information
    • transfer entropy
    • uncertainty

    Cite this

    Ihalainen, H., Ritala, R., & Saarela, O. (2013). Reliability of operating window identified from process data. In A. Kraslawski, & I. Turunen (Eds.), Proceedings of the 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
    Ihalainen, Heimo ; Ritala, Risto ; Saarela, Olli. / Reliability of operating window identified from process data. Proceedings of the 23rd European Symposium on Computer Aided Process Engineering. editor / Andrzej Kraslawski ; Ilkka Turunen. Elsevier, 2013. pp. 625-630 (Computer Aided Chemical Engineering, Vol. 32).
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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",
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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), Proceedings of the 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.

    Proceedings of the 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 proceedingConference article in proceedingsScientificpeer-review

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    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.

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    Ihalainen H, Ritala R, Saarela O. Reliability of operating window identified from process data. In Kraslawski A, Turunen I, editors, Proceedings of the 23rd European Symposium on Computer Aided Process Engineering. Elsevier. 2013. p. 625-630. (Computer Aided Chemical Engineering, Vol. 32). https://doi.org/10.1016/B978-0-444-63234-0.50105-6