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.firstpage402en_US
dc.citation.lastpage409en_US
dc.citation.locationFort Worth, TXen_US
dc.contributor.authorLeuschen, Martin L.en_US
dc.contributor.authorWalker, Ian D.en_US
dc.contributor.authorCavallaro, Joseph R.en_US
dc.contributor.authorGamache, Ronalden_US
dc.contributor.authorMartin, Mikeen_US
dc.contributor.orgCenter for Multimedia Communicationen_US
dc.date.accessioned2012-06-14T16:51:13Zen_US
dc.date.available2012-06-14T16:51:13Zen_US
dc.date.issued2000-09-01en_US
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.en_US
dc.identifier.otherhttp://scholar.google.com/scholar?cluster=2163455507817034820&hl=en&as_sdt=0,44en_US
dc.identifier.urihttps://hdl.handle.net/1911/64270en_US
dc.language.isoengen_US
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_US
dc.type.dcmiTexten_US
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