Experimental AR Fault Detection Methods for a Hydraulic Robot

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dc.citation.conferenceDate2000en_US
dc.citation.conferenceNameInternational System Safety Conferenceen_US
dc.citation.firstpage402
dc.citation.lastpage409
dc.citation.locationFort Worth, TXen_US
dc.contributor.authorLeuschen, Martin L.
dc.contributor.authorWalker, Ian D.
dc.contributor.authorCavallaro, Joseph R.
dc.contributor.authorGamache, Ronald
dc.contributor.authorMartin, Mike
dc.contributor.orgCenter for Multimedia Communicationen_US
dc.date.accessioned2012-06-14T16:51:13Z
dc.date.available2012-06-14T16:51:13Z
dc.date.issued2000-09-01eng
dc.description.abstractThis paper focuses on practical use and theoretical elaboration of the analytical redundancy technique which is used to efficiently detect faults that have been determined to be mission-hazardous by previous FMECA and fault tree analyses of the Rosie system. We believe we have contributed significant improvements to the potential overall reliability of the system. Additionally, we have expanded the applicability of the AR method to nonlinear systems in the course of our work, making this valuable fault detection method more broadly applicable.en_US
dc.description.sponsorshipNational Science Foundationen_US
dc.description.sponsorshipSandia National Laboratoryen_US
dc.identifier.citationM. L. Leuschen, I. D. Walker, J. R. Cavallaro, R. Gamache and M. Martin, "Experimental AR Fault Detection Methods for a Hydraulic Robot," 2000.
dc.identifier.otherhttp://scholar.google.com/scholar?cluster=2163455507817034820&hl=en&as_sdt=0,44
dc.identifier.urihttps://hdl.handle.net/1911/64270
dc.language.isoengen
dc.publisherISSCen_US
dc.subjectfault detectionen_US
dc.subjectanalytical redundancy (AR)en_US
dc.subjectroboticsen_US
dc.subjectnonlinear systemsen_US
dc.titleExperimental AR Fault Detection Methods for a Hydraulic Roboten_US
dc.typeConference paperen_US
dc.type.dcmiTexten
dc.type.dcmiTexten_US
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