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Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem

dc.contributor.authorCalado, João Manuel Ferreira
dc.contributor.authorCarreira, F. P. N. F.
dc.contributor.authorMendes, Mário J. G. C.
dc.contributor.authorCosta, J. M. G. Sá da
dc.contributor.authorBartys, M.
dc.date.accessioned2020-01-02T12:01:39Z
dc.date.available2020-01-02T12:01:39Z
dc.date.issued2003-06
dc.description.abstractA computer assisted fault detection methodology based on a fuzzy qualitative simulation algorithm is described. The adoption of fuzzy sets allows a more detailed description of physical variables, through an arbitrary, but finite, disaetisatioo of the quantity space. The fuzzy representation of qualitative values is more general than ordinary interval representation, since it can represent not only the information stated by a well defined real interval but also the knowledge embedded in the soft boundaries of the interval. Such a methodology was applied to a pneumatic servomotor actuated control valve that is the benchmark problem of the EC RTN DAMADlCS.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCALADO, João M. F.; [et al] – Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem. IFAC Proceedings Volumes. ISSN 2589-3653. Vol. 36, N.º 5 (2003), pp. 1077-1082pt_PT
dc.identifier.doihttps://doi.org/10.1016/S1474-6670(17)36636-3pt_PT
dc.identifier.issn2589-3653
dc.identifier.urihttp://hdl.handle.net/10400.21/10925
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://pdf.sciencedirectassets.com/314898/1-s2.0-S1474667003X70494/1-s2.0-S1474667017366363/main.pdf?X-Amz-Date=20200102T115912Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Signature=d29b5163bfaa5eedee8f158a82e6dc4142c11703e9a056e4d5fe6024078df7e3&X-Amz-Credential=ASIAQ3PHCVTY5WECH5G2%2F20200102%2Fus-east-1%2Fs3%2Faws4_request&type=client&tid=prr-3d3e2c41-e3a3-425f-bbf1-f090b6e7974f&sid=97f1a85025f0e542e5096820ad5b38cebeaegxrqb&pii=S1474667017366363&X-Amz-SignedHeaders=host&X-Amz-Security-Token=IQoJb3JpZ2luX2VjELP%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIHV80B7%2Be9TAAstiFwHzKjTvlUuU2couI%2BcX0RupVCccAiEAmuixkiLc4cfVUg2MV3GkV3b3CfePEAMKfYUmnOI7BbYqtAMILBACGgwwNTkwMDM1NDY4NjUiDGRXGTXuBHTN4BLWbiqRA%2B1T1ZeLX%2B3G6fwOrUjBRjZH0EDLdXjzYS1TgpCoGo1EuPa%2FWtZlxDNvPg%2FHxAZTXX9o5ZoDCXGQ%2BsAJt9iJiqUUhlCe0d1LATU%2BdT%2Fo8%2FZpDq%2BRR9ur%2FR9LZCl1OXcG3HVNdamb9RwGXF3xi1AOkQWjB%2BEhkdbQROFIUkNLkkchWEX9w3S8fhde3uOHhlc2SwV7HqAYzlWQg%2F6gh6EKO49MrOLGxBiMbRm9BXYF0tI%2B2q7Yt7wjyWY%2F1qZhMdba6N6wVT1PY64UoIeb%2BgXxuEo8t2e%2BuEJmoSmBYXCU2sgxL0RGNokzIS%2BvSJhAAos67LK9ZkVLgVq1%2BXEuyH%2BDbO93k5CofwXUehU9kYZFFU3Aj5eEvsglUiI%2FXE7x065UX%2BJzwQ7DobaLyBtaFl3Sf5C9jIYwFqfUEITfq8uqeK%2FrCiTlf8PA12yISfNc7%2BURcAaLv69hnFlg9LmdD5oEhZhATD9wGdHvsF31%2F5KCOlFNofLrXLr%2FDvyJYJZ3dddFEwVeuFcEOIsc4NSdh7jkywgtMN6It%2FAFOusBODzp7SX9zVYuZ7Z4xCkYU0GWPYpOoGi4AMTB6XReR8lDFoVVTxSc%2BUXCBzhcdsnIuE7R1n%2BLhOYHSqQFLY2mURXA9tZwCL1GkuX2nsCdzy%2ByjJcdD0AIzBLP0WBHIRBdJuFPTpmhrbKuf7U4qIOzJNuRTZvTMX4DQqjvTXhYu1QgLYyj6s1iO%2FOHl1%2FImMIUGz%2BHyamJAveDMHVxqhYb6OE8PKaU4%2FUdTX6NCyz3rORMwu9q%2B2KVFf%2Fw7hoFFW8Aru1unucdh1npPDdrQcns4G9S3ApCEaiMnzcnscKrNQ2hwmHSrkjsq0uZPg%3D%3D&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&X-Amz-Expires=300&hash=aaef7bd4cb6e6feef0c23b8b27ea69d2c19b4c361130244b8fc0b2612a71963apt_PT
dc.subjectQualitative simulationpt_PT
dc.subjectFuzzy inferencept_PT
dc.subjectFuzzy datapt_PT
dc.subjectFault detectionpt_PT
dc.subjectservomotor actuatorspt_PT
dc.titleFault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problempt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1082pt_PT
oaire.citation.issue5pt_PT
oaire.citation.startPage1077pt_PT
oaire.citation.titleIFAC Proceedings Volumespt_PT
oaire.citation.volume36pt_PT
person.familyNameCalado
person.familyNameGonçalves Cavaco Mendes
person.givenNameJoão
person.givenNameMário José
person.identifier370725
person.identifier.ciencia-idB518-93E3-E7AB
person.identifier.ciencia-idBD18-DE28-4610
person.identifier.orcid0000-0001-6628-4657
person.identifier.orcid0000-0002-2448-8667
person.identifier.ridM-4167-2013
person.identifier.ridB-5405-2008
person.identifier.scopus-author-id7006897277
person.identifier.scopus-author-id24340460600
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication602b1546-f4f1-4cd5-8d29-d835d54c9bd6
relation.isAuthorOfPublication80ad87b5-0a3b-46dd-8815-adb45f9a2e9a
relation.isAuthorOfPublication.latestForDiscovery602b1546-f4f1-4cd5-8d29-d835d54c9bd6

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