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dc.contributor.authorYueksel, Tolga
dc.contributor.authorSezgin, Abdullah
dc.date.accessioned2020-06-21T15:15:09Z
dc.date.available2020-06-21T15:15:09Z
dc.date.issued2008
dc.identifier.isbn978-1-4244-1998-2
dc.identifier.urihttps://hdl.handle.net/20.500.12712/19491
dc.descriptionIEEE 16th Signal Processing and Communications Applications Conference -- APR 20-22, 2008 -- Aydin, TURKEYen_US
dc.descriptionWOS: 000261359200030en_US
dc.description.abstractWith the growing technology fault detection and isolation became one of the interesting and important research areas in automatic control and signal processing. Besides specific missions like waste treatment in nuclear reactors or data collection in space and underwater missions, robots used in automation must be very reliable and this demand forced researchers to adapt available fault isolation studies to robotics. In this study a model based fault isolation system using ANFIS and NN is proposeden_US
dc.description.sponsorshipIEEEen_US
dc.language.isoturen_US
dc.publisherIeeeen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleModel Based Fault Detection and Isolation For Robot Manipulators with M-ANFIS and NNen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentOMÜen_US
dc.identifier.startpage116en_US
dc.identifier.endpage119en_US
dc.relation.journal2008 Ieee 16Th Signal Processing, Communication and Applications Conference, Vols 1 and 2en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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