Integrated intelligent control system for peroxide bleaching processes

Author

Xia, Q. ; Farzadeh, H. ; Rao, M. ; Danielson, K. ; Henriksson, C. ; Olofsson, J.

Author_Institution

Intelligence Eng. Lab., Alberta Univ., Edmonton, Alta., Canada

fYear

1993

fDate

13-16 Sep 1993

Firstpage

593

Abstract

Introduces an integrated intelligent control system, namely the Intelligent Online Monitoring and Control System (IOMCS), for peroxide bleaching processes. The system has functions such as process upset monitoring, fault diagnosis, decision support, quality prediction and operation optimization. Functional modeling, fault propagation modeling and hierarchical decomposition techniques are introduced to improve the efficiency of the system. A neural network and a numerical calculation package are integrated into the system. Graphical information is provided in order that the operator can easily understand the operational conditions

Keywords

computerised monitoring; control systems; decision support systems; failure analysis; intelligent control; online operation; optimisation; paper; paper industry; process computer control; real-time systems; Intelligent Online Monitoring and Control System; decision support; efficiency; fault diagnosis; fault propagation modeling; functional modeling; graphical information; hierarchical decomposition techniques; integrated intelligent control system; neural network; numerical calculation package; operation optimization; operational conditions; peroxide bleaching processes; process upset monitoring; quality prediction; Bleaching; Control systems; Distributed control; Fault diagnosis; Intelligent control; Intelligent systems; Lakes; Milling machines; Monitoring; Rivers;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1993., Second IEEE Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-1872-2

Type

conf

DOI

10.1109/CCA.1993.348339

Filename

348339