dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorMelo, G. P.
dc.creatorPederiva, R.
dc.date2014-05-27T11:18:19Z
dc.date2016-10-25T18:14:51Z
dc.date2014-05-27T11:18:19Z
dc.date2016-10-25T18:14:51Z
dc.date1997-12-01
dc.date.accessioned2017-04-06T00:51:09Z
dc.date.available2017-04-06T00:51:09Z
dc.identifierProceedings of the International Modal Analysis Conference - IMAC, v. 2, p. 1899-1903.
dc.identifier1046-6770
dc.identifierhttp://hdl.handle.net/11449/65324
dc.identifierhttp://acervodigital.unesp.br/handle/11449/65324
dc.identifier2-s2.0-0031335985
dc.identifierhttps://www.sem.org/Proceedings/ConferencePapers-Paper.cfm?ConfPapersPaperID=39220
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/887059
dc.descriptionA new concept of fault detection and isolation using robust observation for systems with random noises is presented. The method selects the parameters from components that may fault during the process and constructs well conditioned robust observers, considering sensors faults. To isolate component failures via robust observation, a bank of detection observers is constructed, where each observer is only sensitive to one specified component failure while robust to all other component failures.
dc.languageeng
dc.relationProceedings of the International Modal Analysis Conference - IMAC
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectDetectors
dc.subjectFailure analysis
dc.subjectRobustness (control systems)
dc.subjectSensors
dc.subjectObservers
dc.subjectControl system synthesis
dc.titleWell-conditioned robust observer for detection of faulty systems components
dc.typeOtro


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