Online Supervision of Penicillin Cultivations Based on Rolling MPCA
| Autor: | Wang Zhi-feng, Yuan Jing-qi |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Engineering
Environmental Engineering business.industry General Chemical Engineering Process (computing) Control engineering General Chemistry computer.software_genre Fault (power engineering) Biochemistry Set (abstract data type) Chart Penicillin fermentation Principal component analysis Performance monitoring Control chart Data mining business computer |
| Zdroj: | Chinese Journal of Chemical Engineering. 15:92-96 |
| ISSN: | 1004-9541 |
| DOI: | 10.1016/s1004-9541(07)60039-1 |
| Popis: | To reduce the variations of the production process in penicillin cultivations, a rolling multivariate statistical approach based on multiway principle component analysis (MPCA) is developed and used for fault diagnosis of penicillin cultivations. Using the moving data windows technique, the static MPCA is extended for use in dynamic process performance monitoring. The control chart is set up using the historical data collected from the past successful batches, thereby resulting in simplification of monitoring charts, easy tracking of the progress in each batch run, and monitoring the occurrence of the observable upsets. Data from the commercial-scale penicillin fermentation process are used to develop the rolling model. Using this method, faults are detected in real time and the corresponding measurements of these faults are directly made through inspection of a few simple plots ( t -chart, SPE-chart, and T 2 -chart). Thus, the present methodology allows the process operator to actively monitor the data from several cultivations simultaneously. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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