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

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    TR_86-66.pdf (749.8Kb)
    No. of downloads: 241

    Date
    1986
    Author
    Chung, Donald T.
    Modarres, Mohammed
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    Abstract
    In 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.
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    http://hdl.handle.net/1903/4490
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    • Institute for Systems Research Technical Reports

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    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
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