Control System Sensor Failure Detection via Networks of Localized Receptive Fields

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dc.contributor.authorYao, S.C.en_US
dc.contributor.authorZafiriou, E.en_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:45:23Z
dc.date.available2007-05-23T09:45:23Z
dc.date.issued1990en_US
dc.description.abstractThis paper investigates the use of local receptive field networks (LRFN) in detecting sensor failures of a control system in the presence of model-plant mismatch. Simulation results indicate that LRFNs hold significant promise in sensor failure detection. Another issue discussed in this paper is a method to prune redundant nodes. A simple scheme which uses singular value decomposition (SVD) is developed to identify and remove excess nodes. Comparable classification performance is obtained using reduced and standard LRFN.en_US
dc.format.extent504293 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/4974
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1990-24en_US
dc.subjectChemical Process Systemsen_US
dc.titleControl System Sensor Failure Detection via Networks of Localized Receptive Fieldsen_US
dc.typeTechnical Reporten_US

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