Diagnostic Yield Characterization Expert (DYCE) - A Diagnostic Knowledge Based System Shell for Automated Data Analysis

Authors:
Donald D. Pierson;George J. Gallant
Affiliations:
-;-
Venue:
IAAI '93 Proceedings of the The Fifth Conference on Innovative Applications of Artificial Intelligence
Year:
1993

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Abstract

Diagnostic Yield Characterization Expert (DYCE) is a knowledge based system shell used for automated data interpretation in semiconductor manufacturing. Using a combination of artificial intelligence techniques, DYCE assists manufacturing and development personnel to diagnose problems by automatically interpreting hundreds of pieces of data, just as a human expert would do. Diagnosis time has been reduced from several hours to minutes. DYCE's inference engine has generic meta-rules to represent the heuristic problem-solving knowledge of the experts; this permits the representation of hundreds of traditional expert system rules With a few dozen meta-rules. This generic shell architecture has important benefits in maintaining an expert system in a dynamic environment without the need for a knowledge engineer or AI training.