Application of knowledge-based network processing to automated gas chromatography data interpretation
Description:
A method of translating a two-way table of qualified symptom/cause relationships into a four layer Expert Network for diagnosis of machine or sample preparation failure for Gas Chromatography is presented. This method has proven to successfully capture an expert`s ability to predict causes of failure in a Gas Chromatograph based on a small set of symptoms, derived from a chromatogram, in spite of poorly defined category delineations and definitions. In addition, the resulting network possesses …
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Date:
October 1, 1995
Creator:
Levis, A.P.; Timpany, R.G. & Klotter, D.A.
Item Type:
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UNT Libraries Government Documents Department