title: Issues in the development of an industrial bioprocess advisory system.
abstract: 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.
authors.affiliation: Department of Chemical and Process Engineering, University of Newcastle, Newcastle upon Tyne, UK. jarka.glassey@ncl.ac.uk
authors.forename: J
authors.initials: J
authors.lastname: Glassey
authors.forename: G
authors.initials: G
authors.lastname: Montague
authors.forename: P
authors.initials: P
authors.lastname: Mohan
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001709:Biotechnology / Q000379:methods*; D005103:Expert Systems; D005285:Fermentation; D015999:Multivariate Analysis; D011786:Quality Control