Browse by author
Lookup NU author(s): Professor Jarka Glassey, Professor Gary Montague
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
The background and motivation for the construction of a fault detection and advisory system for an industrial fermentation process plant are described. Here, the knowledge extracted from the operators (implemented in the form of production rules) is integrated with multivariate data-based methods for fault detection. The industrial benefits arising from this integrated system include: (1) reduced variability, (2) increased mean performance levels, (3) reduced operator-training time and (4) knowledge management in the broader organization. Copyright (C) 2000 Elsevier Science Ltd.
Author(s): Glassey J, Montague G, Mohan P
Publication type: Article
Publication status: Published
Journal: Trends in Biotechnology
Year: 2000
Volume: 18
Issue: 4
Pages: 136-141
Print publication date: 01/04/2000
ISSN (print): 0167-7799
ISSN (electronic): 1879-3096
Publisher: Elsevier Science Ltd
URL: http://dx.doi.org/10.1016/S0167-7799(00)01423-2
DOI: 10.1016/S0167-7799(00)01423-2
PubMed id: 10740258
Altmetrics provided by Altmetric