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Abstract

An equation solver data reconciliation software has been used to build a validated model of a waste paper deinking plant, by combining control rooms measurements and design specifications. An optimal sensor system configuration that allows validating key performance indicators by using only control room measurements has been determined by identifying, with genetic algorithm programming, the additional sampling points and corresponding sensors required for a minimum cost sensor system configuration.

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