Knowledge-based reasoning about paper machine fabrics

Ismo Penttinen, Olli Saarela, Marja Nappa, Kalle Luomi, Olli Rimpinen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


    This paper describes the application of advanced knowledge-based reasoning (KBR) on the performance of paper machine's felts, especially in relation to runnability. This kind of analysis and benchmarking has traditionally been based almost exclusively on numerical data. In addition to such data analysis, also textual information and storage of tacit knowledge is needed for more comprehensive understanding of the phenomena involved. Methods of the case-based reasoning (CBR) technique were utilized on systematic exploitation of experiences. Three different case retrieval methods; numerical similarity, taxonomy-based similarity and free text search, were studied and used in the application. The implemented software application was aimed for process engineers, providing information for benchmarking and longer term process improvement.
    Original languageEnglish
    Title of host publicationPRS2009
    Subtitle of host publicationPapermaking Research Symposium 2009
    Place of PublicationKuopio
    ISBN (Electronic)978-951-27-1038-6
    Publication statusPublished - 2009
    MoE publication typeA4 Article in a conference publication
    EventPapermaking Research Symposium, PRS2009 - Kuopio, Finland
    Duration: 1 Jun 20094 Jun 2009


    ConferencePapermaking Research Symposium, PRS2009
    Abbreviated titlePRS2009


    • knowledge-based system
    • CBR
    • decision making
    • process analysis


    Dive into the research topics of 'Knowledge-based reasoning about paper machine fabrics'. Together they form a unique fingerprint.

    Cite this