Title :
Standardizing diagnostic information using IEEE AI-ESTATE
Author :
Sheppard, John W. ; Bartolini, Antony ; Orlidge, Leslie A.
Author_Institution :
ARINC, Annapolis, MD, USA
Abstract :
The proliferation of artificially intelligent diagnostic reasoners and tools necessitates establishing standard interfaces to these tools and formal data specifications to capture relevant diagnostic information to be processed by these tools. Current test standards provide little guidance to using AI technology in test applications. Proposed AI standards (e.g., KIF) do not specifically address the concerns of the test community. Thus, no standard exists, currently, addressing the use of AI systems in test environments. AI-ESTATE is intended to fill this void. This paper provides an update on the status of all of the AI-ESTATE standards and their potential use to support diagnostic tools and applications
Keywords :
IEEE standards; automatic test equipment; computer architecture; diagnostic expert systems; diagnostic reasoning; AI standards; IEEE AI-ESTATE; artificially intelligent diagnostic reasoners; diagnostic information; formal data specifications; reasoner; standard interfaces; static model; test standards; Aerospace control; Artificial intelligence; Automatic test equipment; Computer architecture; Control systems; Electronic equipment testing; Isolation technology; Software standards; Standards development; System testing;
Conference_Titel :
AUTOTESTCON, 97. 1997 IEEE Autotestcon Proceedings
Conference_Location :
Anaheim, CA
Print_ISBN :
0-7803-4162-7
DOI :
10.1109/AUTEST.1997.633563
