Adaptive Diagnosis for Probabilistically Diagnosable Systems.

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dc.contributor.authorShih, Feng-Hsien Warrenen_US
dc.contributor.authorNakajima, Kazuo
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:43:16Z
dc.date.available2007-05-23T09:43:16Z
dc.date.issued1989en_US
dc.description.abstractWe show that the adaptive diagnosis approach can be applied to probabilistically diagnosable systems. Three adaptive diagnosis algorithms are developed under both the symmetric and asymmetric test invalidation assumptions. A test selection strategy based on a probabilistic measure of test results is derived and used in each algorithm. We show that the adaptive algorithms are efficient in identifying all faulty units in a system.en_US
dc.format.extent646808 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/4868
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1989-19en_US
dc.titleAdaptive Diagnosis for Probabilistically Diagnosable Systems.en_US
dc.typeTechnical Reporten_US

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