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Gotres: An Expert System for Fault Detection and Analysis.

dc.contributor.authorChung, Donald T.en_US
dc.contributor.authorModarres, Mohammeden_US
dc.date.accessioned2007-05-23T09:41:17Z
dc.date.available2007-05-23T09:41:17Z
dc.date.issued1988en_US
dc.identifier.urihttp://hdl.handle.net/1903/4769
dc.description.abstractThis paper describes a deep-knowledge expert system shell for diagnosing faults in process operations. The expert program shell is called GOTRES (GOal TRee Expert System) and uses a goal tree- success tree deep-knowledge structure to model its knowledge- base. To demonstrate GOTRES, we have built an on-line fault diagnosis expert system for an experimental nuclear reactor facility using this shell. The expert system is capable of diagnosing fault conditions using system goal tree as well as utilizing accumulated operating knowledge to predict plant causal and temporal behaviors. The GOTRES shell has also been used for root-cause detection and analysis in a nuclear plant.en_US
dc.format.extent1379992 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1988-38en_US
dc.titleGotres: An Expert System for Fault Detection and Analysis.en_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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