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Adaptive quality prediction for batch processes based on the PLS model

Lookup NU author(s): Dr Jie ZhangORCiD

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Abstract

There are usually no on-line product quality measurements in batch and semi-batch processes, which makes process control very difficult. A model was developed to predict end-product quality from available on-line process variables measured early in the batch using the partial least squares method. Some available mid-course quality measurements were used to correct the final prediction results. Since the process may change with time, the model is updated with new batch data to generate new model parameters after each batch. A simulated batch polymerization process demonstrates that the method can accurately predict end-product quality.

Publication metadata

Author(s): Li C, Zhang J, Wang G

Publication type: Article

Publication status: Published

Journal: Qinghua Daxue Xuebao/Journal of Tsinghua University

Year: 2004

Volume: 44

Issue: 10

Pages: 1360-1363

ISSN (print): 1000-0054

ISSN (electronic):

Publisher: Qinghua Daxue

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