Distillation column from a mathematical model
Dataset Description
Distillation column generated from a mathematical model. Industrial considerations atypical data features like noise, outliers, and missing data have been added, in order to obtain industrial conditions in the dataset.
- Pressure of column (bar)
2-15. Temperature at each tray (K) - Liquid flowrate (Kg mol/hour)
- Vapor flowrate (Kg mol/hour)
- Distillate flowrate (Kg mol/hour)
- Bottoms flowrate (Kg mol/hour)
- Feed flowrate (Kg mol/hour)
- Molar concentration of ethanol (output)
There are 450 hours of operation at 0.1 hours of time sampling. This dataset has been used for soft-sensors validation and a new feature selection algorithm validation.
If the dataset is helpful please cite: Cote-Ballesteros, J. E., Grisales Palacios, V. H., & Rodriguez-Castellanos, J. E. (2022). Un algoritmo de selección de variables de enfoque híbrido basado en información mutua para aplicaciones de sensores blandos industriales basados en datos. Ciencia E Ingeniería Neogranadina, 32(1), 59–70. https://doi.org/10.18359/rcin.5644
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