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 publication23rd European Symposium on Computer Aided Process Engineering
    EditorsAndrzej Kraslawski, Ilkka Turunen
    PublisherElsevier
    Pages625-630
    ISBN (Print)978-0-444-63234-0
    DOIs
    Publication statusPublished - 2013
    MoE publication typeA4 Article in a conference publication

    Publication series

    SeriesComputer Aided Chemical Engineering
    Volume32
    ISSN1570-7946

    Fingerprint

    Entropy
    Uncertainty

    Keywords

    • mutual information
    • operating window
    • process management
    • 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.), 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. 23rd European Symposium on Computer Aided Process Engineering. editor / Andrzej Kraslawski ; Ilkka Turunen. Elsevier, 2013. pp. 625-630 (Computer Aided Chemical Engineering, Vol. 32).
    @inproceedings{ba4e21b714934a5b823ecaf7fbc92ebd,
    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 = "mutual information, operating window, process management, transfer entropy, uncertainty",
    author = "Heimo Ihalainen and Risto Ritala and Olli Saarela",
    year = "2013",
    doi = "10.1016/B978-0-444-63234-0.50105-6",
    language = "English",
    isbn = "978-0-444-63234-0",
    series = "Computer Aided Chemical Engineering",
    publisher = "Elsevier",
    pages = "625--630",
    editor = "Andrzej Kraslawski and Ilkka Turunen",
    booktitle = "23rd European Symposium on Computer Aided Process Engineering",
    address = "Netherlands",

    }

    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. 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 proceedingConference article in proceedingsScientificpeer-review

    TY - GEN

    T1 - Reliability of operating window identified from process data

    AU - Ihalainen, Heimo

    AU - Ritala, Risto

    AU - Saarela, Olli

    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 - mutual information

    KW - operating window

    KW - process management

    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

    ER -

    Ihalainen H, Ritala R, Saarela O. Reliability of operating window identified from process data. In Kraslawski A, Turunen I, editors, 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