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dc.contributor.authorYazar, Işıl
dc.contributor.authorKıyak, Emre
dc.date.accessioned2019-10-22T20:07:02Z
dc.date.available2019-10-22T20:07:02Z
dc.date.issued2013
dc.identifier.isbn9781479928552
dc.identifier.issn2162-1195
dc.identifier.urihttps://dx.doi.org/10.1109/SysTol.2013.6693878
dc.identifier.urihttps://hdl.handle.net/11421/22181
dc.descriptionResearch Center for Automatic Control of Nancy;Universite de Lorraineen_US
dc.description2nd International Conference on Control and Fault-Tolerant Systems, SysTol 2013 -- 9 October 2013 through 11 October 2013 -- Nice -- 103025en_US
dc.description.abstractFault detection, isolation and reconfiguration process has a vital importance especially in aviation sector. In this sector, health fault diagnosis can avoid systems abnormal situations and provides operational continuity of the aircraft system. In this study, a model-based fault detection-isolation- reconfiguration process is offered for finding faulty sensor using an engine model. 'Unknown Input Observer (UIO)' is used for fault detection, 'Generalized Observer Scheme (GOS)' is used for fault isolation and finally 'Hamming Neural Network' is used as a decision maker in the reconfiguration of faulty sensoren_US
dc.language.isoengen_US
dc.relation.isversionof10.1109/SysTol.2013.6693878en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleFDI & reconfiguration on aircraft engine by hamming-NN&UIOen_US
dc.typeconferenceObjecten_US
dc.relation.journalConference on Control and Fault-Tolerant Systems, SysTolen_US
dc.contributor.departmentAnadolu Üniversitesi, Sivil Havacılık Yüksekokuluen_US
dc.identifier.startpage560en_US
dc.identifier.endpage565en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US]
dc.contributor.institutionauthorKıyak, Emre


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