dc.contributor
Ministerio de Ciencia e Innovación (Espanya)
dc.contributor.author
Gamero Argüello, Francisco Ignacio
dc.contributor.author
Meléndez i Frigola, Joaquim
dc.contributor.author
Colomer Llinàs, Joan
dc.date.accessioned
2024-06-18T14:38:44Z
dc.date.available
2024-06-18T14:38:44Z
dc.date.issued
info:eu-repo/date/embargoEnd/2026-01-01
dc.date.issued
info:eu-repo/date/embargoEnd/2026-01-01
dc.identifier
http://hdl.handle.net/10256/14116
dc.identifier.uri
http://hdl.handle.net/10256/14116
dc.description.abstract
This paper focuses on process diagnosis based on symptoms described by qualitative trends extracted from signals. Main contributions are a new similarity algorithm between qualitative sequences and a generalised approach for on-line diagnosis based on that similarity measure. Process situations are identified by converting sensor time series into qualitative sequences and comparing them with those corresponding to known faulty states. Performance of this approach has been evaluated on line in a steam generator plant
dc.description.abstract
This work has been supported by the research project DPI2009-07891 funded by the Spanish Government
dc.format
application/pdf
dc.relation
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jprocont.2014.06.010
dc.relation
info:eu-repo/semantics/altIdentifier/issn/0959-1524
dc.relation
info:eu-repo/grantAgreement/MICINN//DPI2009-07891/ES/Monitorizacion Inteligente De La Calidad De La Energia Electrica/
dc.rights
Tots els drets reservats
dc.rights
info:eu-repo/semantics/embargoedAccess
dc.source
© Journal of Process Control, 2014, vol. 24, núm. 9, p. 1412-1424
dc.source
Articles publicats (D-EEEiA)
dc.subject
Control automàtic
dc.subject
Automatic control
dc.title
Process diagnosis based on qualitative trend similarities using a sequence matching algorithm
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
