Abstracting qualitative information for process supervision

Author

Colomer, J. ; Pous, C. ; Meléndez, J. ; De la Rosa, J. Ll ; Aguilar, J.

Author_Institution

Dept. d´´Electron. Inf. i Autom., Girona Univ., Spain

fYear

1996

Firstpage

410

Lastpage

415

Abstract

Supervisory systems evolution makes the obtaining of significant information from processes more important in the way that the supervision systems´ particular tasks are simplified. So, having signal treatment tools capable of obtaining elaborate information from the process data is important. In this paper, a tool that obtains qualitative data about the trends and oscillation of signals is presented. An application of this tool is presented as well. In this case, the tool, implemented in a computer-aided control systems design (CACSD) environment, is used in order to give to an expert system for fault detection in a laboratory plant

Keywords

SCADA systems; control system CAD; diagnostic expert systems; fault location; laboratories; oscillations; process control; signal processing; computer-aided control systems design environment; expert system; fault detection; laboratory plant; process supervision; qualitative information abstraction; signal oscillation; signal treatment tools; supervisory systems evolution; tasks simplification; Artificial intelligence; Bibliographies; Data engineering; Data mining; Fault detection; Filtering; Monitoring; Predictive models; Signal processing; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Aided Control System Design, 1996., Proceedings of the 1996 IEEE International Symposium on

Conference_Location

Dearborn, MI

Print_ISBN

0-7803-3032-3

Type

conf

DOI

10.1109/CACSD.1996.555327

Filename

555327