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Simultaneous fault diagnosis in chemical plants using a multil-abel approach

Autor
Yélamos, I.; Graells, M.; Puigjaner, L.; Escudero, G.
Tipus d'activitat
Article en revista
Revista
AICHE journal
Data de publicació
2007-11
Volum
53
Número
11
Pàgina inicial
2871
Pàgina final
2884
DOI
https://doi.org/10.1002/aic.11313 Obrir en finestra nova
Resum
One of the main limitations of current plant supervisory control systems is the reliability and the correct management of simultaneous faults, which is crucial for supporting the plant operators' decision making. In this work, a MultiLabel approach that makes use of support vector machines as the learning algorithm is employed to arrange a novel fault diagnosis system (FDS). The FDS is trained to address a difficult control case study from industry widely studied in the literature, the Tennessee...
Paraules clau
MultiLabel approach, control, process, simulation, simultaneous faults diagnosis, support vector machines
Grup de recerca
CEPIMA - Center for Process and Environment Engineering
GPLN - Grup de Processament del Llenguatge Natural
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla

Participants