A hybrid supervisory knowledge-based system for monitoring penicillin fermentation
Proceedings of the 2000 American Control Conference. ACC (IEEE Cat …, 2000•ieeexplore.ieee.org
Batch and fed-batch bioprocesses generally exhibit batch-to-batch variation. Multivariate
statistical monitoring of these processes based on the use of empirical models developed
from the multiway principal component analysis was performed by using contribution, T/sup
2/and square prediction error plots. To cope with uncertainties in the fermentation process
and to provide more effective supervision, a knowledge-based system was developed
allowing the coupling of quantitative statistical information with the qualitative domain …
statistical monitoring of these processes based on the use of empirical models developed
from the multiway principal component analysis was performed by using contribution, T/sup
2/and square prediction error plots. To cope with uncertainties in the fermentation process
and to provide more effective supervision, a knowledge-based system was developed
allowing the coupling of quantitative statistical information with the qualitative domain …
Batch and fed-batch bioprocesses generally exhibit batch-to-batch variation. Multivariate statistical monitoring of these processes based on the use of empirical models developed from the multiway principal component analysis was performed by using contribution, T/sup 2/ and square prediction error plots. To cope with uncertainties in the fermentation process and to provide more effective supervision, a knowledge-based system was developed allowing the coupling of quantitative statistical information with the qualitative domain expertise (heuristic knowledge). This hybrid system (PenExpert) aims to perform old-of-batch process monitoring as well as online process monitoring and fault diagnosis.
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