Abstract:
:This paper discusses the concept of generic model-based software sensors with particular reference to bioprocess application. The industrial need for software sensing is considered and two industrial bioprocess systems are used in order to highlight the operability problems which warrant their development. Alternative philosophies for formulation are considered and the relative merits of the methodologies discussed. In particular, two different procedures are presented--an adaptive linear model based method, and a method based upon artificial neural networks. The performances of these alternative approaches are studied by their application to two industrial demonstrator processes. The results serve to highlight the operability improvements that can be gained through software sensor development.
journal_name
J Biotechnoljournal_title
Journal of biotechnologyauthors
Montague GA,Morris AJ,Tham MTdoi
10.1016/0168-1656(92)90114-osubject
Has Abstractpub_date
1992-08-01 00:00:00pages
183-201issue
1-2eissn
0168-1656issn
1873-4863pii
0168-1656(92)90114-Ojournal_volume
25pub_type
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pub_type: 杂志文章,评审
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更新日期:2005-04-20 00:00:00
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journal_title:Journal of biotechnology
pub_type: 杂志文章,评审
doi:10.1016/s0168-1656(99)00113-3
更新日期:1999-08-20 00:00:00
abstract::The growth inhibition of a murine hybridoma mediated by ammonium chloride was shown to vary with the pH of the culture medium. Values for the initial media concentration causing 50% growth inhibition (IC50) ranged from 4 mM to 7.6 mM as the pH was reduced from 7.8 to 6.8. A significant negative correlation was observe...
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pub_type: 杂志文章
doi:10.1016/0168-1656(90)90053-e
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pub_type: 杂志文章
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journal_title:Journal of biotechnology
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doi:10.1016/j.jbiotec.2013.05.016
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