Fault diagnosis based on causal reasoning

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dc.contributor.authorWhitehead, John Douglass Hodjaten
dc.contributor.committeechairRoach, John W.en
dc.contributor.committeememberMiller, David P.en
dc.contributor.committeememberKervick, Daniel M.en
dc.contributor.departmentComputer Science and Applicationsen
dc.date.accessioned2014-03-14T21:28:43Zen
dc.date.adate2013-02-06en
dc.date.available2014-03-14T21:28:43Zen
dc.date.issued1987-11-13en
dc.date.rdate2013-02-06en
dc.date.sdate2013-02-06en
dc.description.abstractA "causal" expert system based on hypothetical reasoning and its application to a Mark 45 turret gun's lower hoist are described. HOIST is a system that performs fault diagnosis without the use of a domain expert or "shallow rules". Rather its "knowledge" is coded directly from a structural specification of the Mark 45 lower hoist. The technology reported here for assisting the lesser acquainted diagnostician differs considerably from the normal rule-based expert system techniques: it reasons about machine failures from a functional model of the device. In a mechanism like the lower hoist, a functional model must reason about forces, fluid pressures and mechanical linkages, that is, qualitative physics. HOIST technology can be directly applied to any exactly specified device for modeling and diagnosis of single or multiple faults. Hypothetical reasoning, the process embodied in HOIST, has general utility in qualitative physics and reason maintenance.en
dc.description.degreeMaster of Scienceen
dc.format.extentv, 97 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-02062013-040231en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-02062013-040231/en
dc.identifier.urihttp://hdl.handle.net/10919/40959en
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1988.W537.pdfen
dc.relation.isformatofOCLC# 18959184en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1987.W537en
dc.subject.lcshArtificial intelligenceen
dc.subject.lcshExpert systems (Computer science)en
dc.titleFault diagnosis based on causal reasoningen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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