• DocumentCode
    1122804
  • Title

    Validation of an automated system model generator

  • Author

    Gonzalez, Avelino J. ; Myler, Harley R. ; McKenzie, Frederic D. ; Towhidnejad, Massood ; Kladke, Robin R.

  • Author_Institution
    Dept. of Electr. and Comput. Eng., Central Florida Univ., Orlando, FL, USA
  • Volume
    6
  • Issue
    4
  • fYear
    1994
  • fDate
    8/1/1994 12:00:00 AM
  • Firstpage
    643
  • Lastpage
    648
  • Abstract
    Modeling and simulation have always been highly useful techniques to use when designing, analyzing, or diagnosing an engineered system. Development of an appropriate model, in terms of accuracy, granularity, and complexity, has typically been the burden of the designer, analyst, or troubleshooter. It would naturally be advantageous if a model could be developed automatically, with the user supplying only some final minor refinements. The fact that most modern systems are designed in a computer-aided design (CAD) environment makes this a realistic prospect, because much of the data necessary for the model is already in electronic form. This article outlines a system called the automated knowledge generator (AKG), which embodies techniques that automatically create a model of an engineered system directly from its CAD representation, and describes the extensive testing process followed in order to validate its performance
  • Keywords
    digital simulation; engineering computing; intelligent design assistants; knowledge acquisition; knowledge based systems; program testing; AKG; CAD representation; accuracy; automated knowledge generator; automated system model generator; complexity; computer-aided design; constraint satisfaction; electronic form; engineered system; granularity; knowledge acquisition; model based reasoning; simulation models; testing process; Analytical models; Automatic testing; Computational modeling; Design automation; Design engineering; Knowledge acquisition; Knowledge based systems; Knowledge engineering; System testing; Systems engineering and theory;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/69.298181
  • Filename
    298181