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NUMERICAL AND SYMBOLIC MODELING TECHNIQUES APPLIED TO IMPROVE THE OPERATOR EFFICIENCY OF ALLUMINIUM SMELTERS

C. Balducelli
ENEA - Institute for New Technologies, Energy and Environment, V. Anguillarese 301, 00060 Rome Italy

G. Vicoli
ENEA - Institute for New Technologies, Energy and Environment, V. Anguillarese 301, 00060 Rome Italy

Sinopsis

This paper describes the application of computerized operator support systems in a primary aluminium production plants in the phases of operative training and on line supervisory and diagnosis.
The phases in which there is a great demand of this types of systems are initially point out describing all the possible benefits.
From numerical modeling approaches, useful to develop training simulators, the attention is devoted to the symbolic modeling methodologies, more suitable to emulate the operator cognitive behaviour aimed to an early fault detection of the electrolytic cells.

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