XpeRTD: An expert system for diagnosing resistance temperature detectors

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dc.contributor.authorWard, Kirby
dc.date.accessioned2023-03-01T18:26:53Z
dc.date.available2023-03-01T18:26:53Z
dc.date.issued1988
dc.description.abstractA prototype expert system, XpeRTD, is introduced. XpeRTD diagnoses mechanical faults in resistance temperature detectors (RTDs). RTDs are electrical sensing devices used in the nuclear power industry to monitor reactor activity. It is shown that the expert system approach is best for RTD diagnosis. By implication, it is the best approach for similar problems where there are no exact models or where statistical methods don't apply. The introduction of an expert system proνides an opportunity to discuss the design and implementation of expert systems in general. A particular approach to the difficult task of knowledge engineering is detailed. A FLOPS (Siler and Tucker, 1986) fuzzy logic production system implementation is compared with other expert system "shells". FLOPS' fuzzy logic is compared with other techniques for representing and reasoning from uncertainty.
dc.description.copyrightCopyright @ Kirby Ward, 1988.
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/14650
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineComputer Science
dc.titleXpeRTD: An expert system for diagnosing resistance temperature detectors
dc.typetechnical report

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