Abstracting qualitative information for process supervision

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orcId Colomer Llinàs, Joan​ researcherId Colomer Llinàs, Joan​ scopusId Colomer Llinàs, Joan​ ​
Colomer Llinàs, Joan
orcId Pous i Sabadí, Carles​ ​ scopusId Pous i Sabadí, Carles​ ​
Pous i Sabadí, Carles
orcId Meléndez i Frigola, Joaquim​ ​ scopusId Meléndez i Frigola, Joaquim​ ​
Meléndez i Frigola, Joaquim
orcId Rosa, Josep Lluís de la​ researcherId Rosa, Josep Lluís de la​ scopusId Rosa, Josep Lluís de la​ ​
Rosa, Josep Lluís de la
​ ​ scopusId Aguilar Martín, Josep​ ​
Aguilar Martín, Josep
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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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