Title :
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
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;
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
DOI :
10.1109/CACSD.1996.555327
