Robust State Estimation for Fouling Evolution in Batch Processes using the EM Algorithm
| Autor: | Ala E. F. Bouaswaig, Matthias Roth, Ouyang Wu, Edmund Brekke, Lars Imsland, Stefan Marco Schneider |
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| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Fouling Computer science Estimation theory 020208 electrical & electronic engineering t-distribution 02 engineering and technology batch-to-batch fouling Process manufacturing 020901 industrial engineering & automation Control and Systems Engineering Expectation–maximization algorithm variational approximation 0202 electrical engineering electronic engineering information engineering Batch processing Degradation (geology) State (computer science) Performance indicator EM algorithm |
| Zdroj: | IFAC-Papers |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2019.06.142 |
| Popis: | Degradation such as fouling has significant negative impact on the efficiency of process manufacturing. Creating transparency about degradation is essential in the operations of the plants. This paper focuses on the state estimation of fouling in a multipurpose batch process, and the problem is formulated using an industrial case study. Due to the lack of a good model of fouling, the state estimation is integrated with parameter estimation using the expectation maximization (EM) algorithm, where the variational approximation method is employed for the intermediate robust state estimation in the E-step. The proposed state estimation is applied in the case study, which demonstrates the efficacy of the estimation of a recipe-independent key performance indicator for the batch-to-batch fouling. © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. |
| Databáze: | OpenAIRE |
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