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Biotechnology and Bioengineering
Article
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Biotechnology and Bioengineering
Article . 2001 . Peer-reviewed
License: Wiley Online Library User Agreement
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The University of Manchester - Institutional Repository
Article . 2001
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Biotechnology and Bioengineering
Article . 2001
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Biotechnology and Bioengineering
Article . 2001
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https://dx.doi.org/10.1002/bit...
Article
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Article . 2001
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Process monitoring of an industrial fed‐batch fermentation

descriptionPublicationkeyboard_double_arrow_right Article 16 May 2001 United Kingdom English Publisher:WileyJournal:Biotechnology and Bioengineering, volume 74, pages 125-135 (issn: 0006-3592, eissn: 1097-0290, Copyright policy )
Authors: Lennox, B.; id_orcid 0000-0003-0905-8324; Montague, G. A.; Hiden, H. G.; Kornfeld, G.; Goulding, P. R.;

doi: 10.1002/bit.1102

pmid: 11370001

Process monitoring of an industrial fed‐batch fermentation

Abstract

AbstractMarket demand places great emphasis in industry on product quality. Consequently, process monitoring and control have become important aspects of systems engineering. In this article we detail the results of a 2‐year study focusing on the development of a condition monitoring system for a fed‐batch fermentation system operated by Biochemie Gmbh in Austria. We also demonstrate the suitability and limitations of current state of the art technologies in this field and suggest novel modifications and configurations to improve their suitability for application to a fed‐batch fermentation system. © 2001 John Wiley & Sons, Inc. Biotechnol Bioeng 74: 125–135, 2001.

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United Kingdom
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Keywords

Principal component analysis, Industrial Microbiology, Fermentation, Multivariate Analysis, Multivariate statistical process control, Neural Networks, Computer, Least-Squares Analysis, Fault detection, Fault diagnosis, Algorithms

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 140
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
140
Top 10%
Top 1%
Top 10%
bronze