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- W3090263686 abstract "Being at the heart of modern pulp mills, continuous pulp digesters have attracted much attention from the research community. In this article, a comprehensive review in the area of modeling, control and diagnostics of continuous pulp digesters is conducted. The evolution of research focus within these areas is followed and discussed. Particular effort has been devoted to identifying the state-of-the-art and the research gap in a summarized way. Finally, the current and future research directions in the areas have been analyzed and discussed. To date, digester modeling following the Purdue approach, Kappa number control using model predictive controllers and health index-based diagnostic approaches by utilizing different statistical methods have dominated the field. While the rising research interest within the field is evident, we anticipate further developments in advanced sensors and integration of these sensors for improving model prediction and controller performance; and the exploration of different AI-based approaches will be at the core of future research." @default.
- W3090263686 created "2020-10-08" @default.
- W3090263686 creator A5006617517 @default.
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- W3090263686 creator A5049501985 @default.
- W3090263686 date "2020-10-01" @default.
- W3090263686 modified "2023-09-25" @default.
- W3090263686 title "A Review on the Modeling, Control and Diagnostics of Continuous Pulp Digesters" @default.
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- W3090263686 doi "https://doi.org/10.3390/pr8101231" @default.
- W3090263686 hasPublicationYear "2020" @default.
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