Neural network inferential estimator for product composition of a fatty acid distillation column
This paper discuss the application of a software-based estimator for the measurement of fatty acid composition in a palm oil fractionation process. A typical configuration of a distillation column with a appropriate control loops was simulated using Hysys.Plant dynamic process simulator. The simulat...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
Faculty of Chemical and Natural Resources Engineering, UTM
2001
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| Subjects: | |
| Online Access: | http://eprints.utm.my/5033/1/ArshadAhmad2001_NeuralNetworkInferentialEstimator.pdf http://eprints.utm.my/5033/ |
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| Summary: | This paper discuss the application of a software-based estimator for the measurement of fatty acid composition in a palm oil fractionation process. A typical configuration of a distillation column with a appropriate control loops was simulated using Hysys.Plant dynamic process simulator. The simulation model was proved to be realistic test-bed representing an industrial process since a sufficiently accurate plant/model match was obtained. Using data generated from the simulator, a fatty acid composition estimator was developed using artificial neural networks (ANN). Good estimation of composition was demonstrated. |
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