Knowledge-based reasoning about paper machine fabrics

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

Knowledge-based reasoning about paper machine fabrics

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

UPM-Kymmene Oyj

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

Abstract

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 language	English
Title of host publication	PRS2009
Subtitle of host publication	Papermaking Research Symposium 2009
Place of Publication	Kuopio
ISBN (Electronic)	978-951-27-1038-6
Publication status	Published - 2009
MoE publication type	A4 Article in a conference publication
Event	Papermaking Research Symposium, PRS2009 - Kuopio, Finland Duration: 1 Jun 2009 → 4 Jun 2009

Conference

Conference	Papermaking Research Symposium, PRS2009
Abbreviated title	PRS2009
Country/Territory	Finland
City	Kuopio
Period	1/06/09 → 4/06/09

Keywords

knowledge-based system
CBR
decision making
process analysis

Cite this

@inproceedings{925a277ee3ab4986a1f41693e7a0b709,

title = "Knowledge-based reasoning about paper machine fabrics",

abstract = "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.",

keywords = "knowledge-based system, CBR, decision making, process analysis",

author = "Ismo Penttinen and Olli Saarela and Marja Nappa and Kalle Luomi and Olli Rimpinen",

year = "2009",

language = "English",

isbn = "978-95127-1016-4",

booktitle = "PRS2009",

note = "Papermaking Research Symposium, PRS2009, PRS2009 ; Conference date: 01-06-2009 Through 04-06-2009",

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TY - GEN

T1 - Knowledge-based reasoning about paper machine fabrics

AU - Penttinen, Ismo

AU - Saarela, Olli

AU - Nappa, Marja

AU - Luomi, Kalle

AU - Rimpinen, Olli

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - knowledge-based system

KW - CBR

KW - decision making

KW - process analysis

M3 - Conference article in proceedings

SN - 978-95127-1016-4

BT - PRS2009

CY - Kuopio

T2 - Papermaking Research Symposium, PRS2009

Y2 - 1 June 2009 through 4 June 2009

ER -

Knowledge-based reasoning about paper machine fabrics

Abstract

Conference

Keywords

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Cite this