sensitivity matrix; sensor system; reconciled precision; key performance indicators; population based evolutionary algorithm; objective function; waste paper deinking mill
Abstract :
[en] An equation solver data reconciliation software has been used to build a validated model of a waste paper deinking mill, by combining control room measurements and process design specifications. An optimal sampling protocol to validate the model by using only control room measurements has been determined by identifying, with genetic algorithm programming, the additional sampling points and corresponding sensors required to compensate for the lack of redundant measurements.
Disciplines :
Materials science & engineering
Author, co-author :
Brown, David; Ecole Polytechnique Fédérale de Lausanne - EPFL
Marechal, François; Ecole Polytechnique Fédérale de Lausanne - EPFL
Heyen, Georges ; Université de Liège - ULiège > Département de chimie appliquée > LASSC (Labo d'analyse et synthèse des systèmes chimiques)
Paris, Jean; Ecole Polytechnique de Montréal > Chemical engineering
Language :
English
Title :
Data reconciliation and sampling protocol design, case of a paper deinking process
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