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Automated extraction of knowledge for model-based diagnosticsThe concept of accessing computer aided design (CAD) design databases and extracting a process model automatically is investigated as a possible source for the generation of knowledge bases for model-based reasoning systems. The resulting system, referred to as automated knowledge generation (AKG), uses an object-oriented programming structure and constraint techniques as well as internal database of component descriptions to generate a frame-based structure that describes the model. The procedure has been designed to be general enough to be easily coupled to CAD systems that feature a database capable of providing label and connectivity data from the drawn system. The AKG system is capable of defining knowledge bases in formats required by various model-based reasoning tools.
Document ID
19900018002
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Gonzalez, Avelino J.
(University of Central Michigan Mount Pleasant, MI, United States)
Myler, Harley R.
(University of Central Michigan Mount Pleasant, MI, United States)
Towhidnejad, Massood
(University of Central Michigan Mount Pleasant, MI, United States)
Mckenzie, Frederic D.
(University of Central Michigan Mount Pleasant, MI, United States)
Kladke, Robin R.
(University of Central Michigan Mount Pleasant, MI, United States)
Date Acquired
September 6, 2013
Publication Date
May 1, 1990
Publication Information
Publication: NASA, Marshall Space Flight Center, Fifth Conference on Artificial Intelligence for Space Applications
Subject Category
Documentation And Information Science
Accession Number
90N27318
Funding Number(s)
CONTRACT_GRANT: NAG10-0043
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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