Analytical and knowledge based approaches for a bioprocess supervision

Authors:
N. Kabbaj;Y. Nakkabi;A. Doncescu
Affiliations:
LAAS-CNRS, University of Toulouse, 7, Avenue du Colonel Roche, F-31077 Toulouse, France;University of Victoria, Department of Electrical and Computer Engineering, British Columbia, Canada;LAAS-CNRS, University of Toulouse, 7, Avenue du Colonel Roche, F-31077 Toulouse, France
Venue:
Knowledge-Based Systems
Year:
2010

Citing 4
Cited 1

An introduction to intelligent and autonomous control

An introduction to intelligent and autonomous control
Advances in knowledge discovery and data mining

Advances in knowledge discovery and data mining
Introduction To Automata Theory, Languages, And Computation

Introduction To Automata Theory, Languages, And Computation
Process fault detection based on modeling and estimation methods-A survey

Automatica (Journal of IFAC)

Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper deals with supervision of biotechnological processes. Two main tasks are considered in this supervision scheme. The first one deals with Fault Detection and Isolation (FDI). The objective is to detect changes in the process dynamics using a model-based method. The second task concerns process physiological state recognition. A behavioral model is built using the expert knowledge along with clustering techniques applied to the measured data. The behavioral model under automata form is an heuristic model of the process under supervision.