Title :
Diagnostic reasoning systems data representation: IEEE P1232.1 artificial intelligence tie to automatic test equipment (AI-ESTATE) data and knowledge standard
Author :
Bowman, Gregory P.
Author_Institution :
Boeing Helicopters, Philadelphia, PA, USA
Abstract :
The proliferation of diagnostic reasoning tools, coupled with a need in those tools to use existing design, test, and maintenance data has led to incompatibilities between data formats, and an inability to communicate diagnostic information. The IEEE P1232.1 AI-ESTATE Data and Knowledge Specification has been created to address this need, by establishing a standard format consisting of diagnostic information models, through which the basic diagnostic entities, such as tests and outcomes, are defined. These models, represented using the ISO 10303 EXPRESS language, are discussed
Keywords :
IEEE standards; automatic test equipment; data structures; diagnostic reasoning; knowledge representation; AI-ESTATE; ATE; IEEE P1232.1; ISO 10303 EXPRESS language; artificial intelligence; automatic test equipment; data formats; data representation; data standard; diagnostic information models; diagnostic reasoning systems; knowledge standard; standard format; Artificial intelligence; Automatic test equipment; Communication standards; Electronic mail; Helicopters; History; Lattices; Materials testing; System testing; USA Councils;
Conference_Titel :
AUTOTESTCON '96, Test Technology and Commercialization. Conference Record
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-3379-9
DOI :
10.1109/AUTEST.1996.547680
