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

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