Leuschen, Martin L.Walker, Ian D.Cavallaro, Joseph R.Gamache, RonaldMartin, Mike2012-06-142012-06-142000-09-01M. L. Leuschen, I. D. Walker, J. R. Cavallaro, R. Gamache and M. Martin, "Experimental AR Fault Detection Methods for a Hydraulic Robot," 2000.http://scholar.google.com/scholar?cluster=2163455507817034820&hl=en&as_sdt=0,44https://hdl.handle.net/1911/64270This 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.engfault detectionanalytical redundancy (AR)roboticsnonlinear systemsConference paper