Chips Image Processing to Predict Pulp Brightness Using Fuzzy Logic Techniques

Sofiane Achiche, Luc Baron, Marek Balazinski, Mokhtar Benaoudia

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The quality of the thermomechanical pulp and paper (TMP) process is influenced by a large number of variables. The influencing variables are generally chosen by the process maker, and they change depending on the raw material feeding the TMP process. In this paper, a genetically generated fuzzy knowledge base (FKB) is used to model the relationship between the wood chips characteristics and the quality of the resulting pulp; measured by the pulp ISO brightness. The learning of the FKBs uses measurements obtained from the chip management system (CMS®).
Original languageEnglish
Title of host publicationAnnual Meeting of the Pulp and Paper Technical Association of Canada
Publication date2005
Pages173-176
Publication statusPublished - 2005
Externally publishedYes
EventAnnual Meeting of the Pulp and Paper Technical Association of Canada - Montréal
Duration: 1 Jan 2005 → …

Conference

ConferenceAnnual Meeting of the Pulp and Paper Technical Association of Canada
CityMontréal
Period01/01/2005 → …

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