Abstracting qualitative information for process supervision

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To access the full text documents, please follow this link: http://hdl.handle.net/10256/2578

dc.contributor.author	Colomer Llinàs, Joan
dc.contributor.author	Pous i Sabadí, Carles
dc.contributor.author	Meléndez Frigola, Joaquim
dc.contributor.author	Rosa, Josep Lluís de la
dc.contributor.author	Aguilar Martín, Josep
dc.date	1996
dc.date.accessioned	2010-06-11T01:53:25Z
dc.date.available	2010-06-11T01:53:25Z
dc.date.issued	2010-06-11T01:53:25Z
dc.identifier.citation	Colomer, J., Pous, C., Meléndez, J., de la Rosa, J.L.L., i Aguilar, J. (1996). Abstracting qualitative information for process supervision. Proceedings of the 1996 IEEE International Symposium on Computer-Aided Control System Design : 1996, 410-415. Recuperat 10 juny 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=555327
dc.identifier.citation	0-7803-3032-3
dc.identifier.uri	http://hdl.handle.net/10256/2578
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	IEEE
dc.relation	http://dx.doi.org/10.1109/CACSD.1996.555327
dc.relation	© Proceedings of the 1996 IEEE International Symposium on Computer-Aided Control System Design, 1996, p. 410-415
dc.relation	Articles publicats (D-EEEiA)
dc.rights	Tots els drets reservats
dc.subject	Control de processos
dc.subject	Errors de sistemes (Enginyeria)
dc.subject	Sistemes de recopilació automàtica de dades -- Programació
dc.subject	Sistemes experts (Informàtica)
dc.subject	Tractament del senyal
dc.subject	Automatic data collection systems -- Programming
dc.subject	Expert systems (Computer science)
dc.subject	Process control
dc.subject	Signal processing
dc.subject	System failures (Engineering)
dc.title	Abstracting qualitative information for process supervision
dc.type	info:eu-repo/semantics/article
dc.description.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

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