Case-Based Reasoning in Web Break Sensitivity Evaluation in a Paper Machine
Author(s) -
Timo Ahola,
Kauko Leiviskä
Publication year - 2005
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2005.p0556
Subject(s) - computer science , fuzzy logic , scale (ratio) , artificial intelligence , mill , sensitivity (control systems) , machine learning , software engineering , industrial engineering , electronic engineering , engineering , mechanical engineering , physics , quantum mechanics
This paper proposes a new approach for monitoring the the paper web break tendency in modern paper machines. The approach combines linguistic equations and fuzzy logic in a case-based reasoning framework. The development is based on actual mill data and simulations, and early prototyping is used to validate the approach in practice. The system has been tested on two Finnish paper machines with encouraging results showing good possibility for actual mill-scale application.
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