A Method of Fault Diagnosis: Presentation of a Deep Knowledge System.

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dc.contributor.authorChung, Donald T.en_US
dc.contributor.authorModarres, Mohammeden_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:37:13Z
dc.date.available2007-05-23T09:37:13Z
dc.date.issued1987en_US
dc.description.abstractIn fault diagnostic expert systems, the knowledge can be either shallow (experience-based) or deep (function-based). This paper presents a deep-knowledge expert system for fault detection in process operations and control domain. The structure used for modelling deep-knowledge is called Goal-Tree-Success Tree. An expert system shell has been built for applying this deep- knowledge model utilizing the logic based language PROLOG. An example, applying this deep-knowledge model and the developed expert system shell, is also presented.en_US
dc.format.extent755523 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/4567
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1987-59en_US
dc.titleA Method of Fault Diagnosis: Presentation of a Deep Knowledge System.en_US
dc.typeTechnical Reporten_US

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