Nonlinear Fault Detection for Hydraulic Systems

dc.citation.firstpage169en_US
dc.citation.lastpage191en_US
dc.citation.volumeNumber1/2003en_US
dc.contributor.authorLeuschen, Martin L.en_US
dc.contributor.authorWalker, Ian D.en_US
dc.contributor.authorCavallaro, Joseph R.en_US
dc.contributor.orgCenter for Multimedia Communicationen_US
dc.date.accessioned2012-06-06T15:23:02Zen_US
dc.date.available2012-06-06T15:23:02Zen_US
dc.date.issued2003-01-01en_US
dc.description.abstractOne of the most important areas in the robotics industry is the development of robots capable of working in hazardous environments. As humans cannot safely or cheaply work in these environments, providing a high level of robotic functionality is important. Our work in this area focuses on a fault detection method known as analytical redundancy, or AR. In this paper we discuss the application to a hydraulic servovalve system of our novel rigorous nonlinear AR technique. AR is a model-based state-space technique that is theoretically guaranteed to derive the maximum number of independent tests of the consistency of sensor data with the system model and past control inputs. Conventional linear AR is only valid for linear sampled data systems. However, our new nonlinear AR (NLAR) technique maintains traditional linear AR’s mathematical guarantee to generate the maximum possible number of independent tests in the nonlinear domain. Thus NLAR allows us to gain the benefits of AR testing for nonlinear systems with both continuous and sampled data.en_US
dc.identifier.citationM. L. Leuschen, I. D. Walker and J. R. Cavallaro, "Nonlinear Fault Detection for Hydraulic Systems," vol. 1/2003, 2003.en_US
dc.identifier.issn10.1007/3-540-45737-2_6en_US
dc.identifier.otherhttp://scholar.google.com/scholar?cluster=9901935817456966598&hl=en&as_sdt=0,44en_US
dc.identifier.urihttps://hdl.handle.net/1911/64224en_US
dc.language.isoengen_US
dc.publisherSpringer-Verlag Berlin Heidelbergen_US
dc.subjectroboticsen_US
dc.subjectanalytical redundancy (AR)en_US
dc.subjecthydraulic servovalveen_US
dc.titleNonlinear Fault Detection for Hydraulic Systemsen_US
dc.typeBook chapteren_US
dc.type.dcmiTexten_US
dc.type.dcmiTexten_US
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