• DocumentCode
    2532029
  • Title

    Diagnostic reasoning systems data representation: IEEE P1232.1 artificial intelligence tie to automatic test equipment (AI-ESTATE) data and knowledge standard

  • Author

    Bowman, Gregory P.

  • Author_Institution
    Boeing Helicopters, Philadelphia, PA, USA
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    73
  • Lastpage
    76
  • Abstract
    The proliferation of diagnostic reasoning tools, coupled with a need in those tools to use existing design, test, and maintenance data has led to incompatibilities between data formats, and an inability to communicate diagnostic information. The IEEE P1232.1 AI-ESTATE Data and Knowledge Specification has been created to address this need, by establishing a standard format consisting of diagnostic information models, through which the basic diagnostic entities, such as tests and outcomes, are defined. These models, represented using the ISO 10303 EXPRESS language, are discussed
  • Keywords
    IEEE standards; automatic test equipment; data structures; diagnostic reasoning; knowledge representation; AI-ESTATE; ATE; IEEE P1232.1; ISO 10303 EXPRESS language; artificial intelligence; automatic test equipment; data formats; data representation; data standard; diagnostic information models; diagnostic reasoning systems; knowledge standard; standard format; Artificial intelligence; Automatic test equipment; Communication standards; Electronic mail; Helicopters; History; Lattices; Materials testing; System testing; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AUTOTESTCON '96, Test Technology and Commercialization. Conference Record
  • Conference_Location
    Dayton, OH
  • ISSN
    1088-7725
  • Print_ISBN
    0-7803-3379-9
  • Type

    conf

  • DOI
    10.1109/AUTEST.1996.547680
  • Filename
    547680