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• W2185854452 abstract "Abstract A PLS-based model is developed for a batch distillation process in order to estimate the product compositions from temperature measurements. Both linear and nonlinear versions of PLS are employed and their estimation performance is compared. Several issues are addressed such as the selection of the most appropriate model input variables, and the effect of augmenting the original process data with lagged measurements. A novel PLS approach is also proposed that provides for the development of multiple PLS models for different time intervals during the batch operation." @default.
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• W2185854452 date "2002-01-01" @default.
• W2185854452 modified "2023-09-26" @default.
• W2185854452 title "DEVELOPMENT OF A SOFT SENSOR FOR A BATCH DISTILLATION COLUMN USING LINEAR AND NONLINEAR PLS REGRESSION TECHNIQUES" @default.
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• W2185854452 doi "https://doi.org/10.3182/20020721-6-es-1901.00483" @default.
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