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
fDate :
8/1/1994 12:00:00 AM
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;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on