Ítem
| Ministerio de Ciencia e Innovación (Espanya) | |
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Gamero Argüello, Francisco Ignacio
Meléndez i Frigola, Joaquim Colomer Llinàs, Joan |
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| setembre 2014 | |
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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 This work has been supported by the research project DPI2009-07891 funded by the Spanish Government |
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| application/pdf | |
| http://hdl.handle.net/10256/14116 | |
| eng | |
| Elsevier | |
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info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jprocont.2014.06.010 info:eu-repo/semantics/altIdentifier/issn/0959-1524 info:eu-repo/grantAgreement/MICINN//DPI2009-07891/ES/Monitorizacion Inteligente De La Calidad De La Energia Electrica/ |
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| Tots els drets reservats | |
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Control automàtic
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| Process diagnosis based on qualitative trend similarities using a sequence matching algorithm | |
| info:eu-repo/semantics/article | |
| DUGiDocs |
