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Abstracting qualitative information for process supervision

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

IEEE

Author: Colomer Llinàs, Joan
Pous i Sabadí, Carles
Meléndez Frigola, Joaquim
Rosa, Josep Lluís de la
Aguilar Martín, Josep
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
Document access: http://hdl.handle.net/2072/64442
Language: eng
Publisher: IEEE
Rights: Tots els drets reservats
Subject: Control de processos
Errors de sistemes (Enginyeria)
Sistemes de recopilació automàtica de dades -- Programació
Sistemes experts (Informàtica)
Tractament del senyal
Automatic data collection systems -- Programming
Expert systems (Computer science)
Process control
Signal processing
System failures (Engineering)
Title: Abstracting qualitative information for process supervision
Type: info:eu-repo/semantics/article
Repository: Recercat

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