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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Application of Multivariate Statistical Process Control with STARprobeTM Measurements in Aluminium Electrolysis Cells
verfasst von : Jean-Pierre Gagné, Rémi St-Pierre, Pascal Côté, Pascal Lavoie, Albert Mulder
Erschienen in: Light Metals 2017
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Abstract
Due to the multivariate nature of the aluminium electrolysis process, the usual univariate control algorithms coupled with the low visibility of the process used in the aluminium industry intrinsically causes control errors resulting in suboptimal process control. A trend in the industry consists in applying multivariate statistical process control with specific responses to the cause of variations. Such a system in the form of a Bath Temperature and Chemistry Control Module (BTCM) was developed to be used in conjunction with state-of-the-art STARprobeTM measurements of electrolyte properties, providing the ability to respond quickly to causes of abnormalities detected from the immediate synchronous bath measurements. This paper presents the system and results from a smelter’s pilot section.