Accession Number:

ADA151918

Title:

Diagnosis: Using Automatic Test Equipment and an Artificial Intelligence Expert System.

Descriptive Note:

Master's thesis,

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s):

• Ramsey,J. E. , Jr

Report Date:

1984-12-01

Pagination or Media Count:

367.0

Abstract:

This reviews three different expert systems ATEOPS, ATEFEXPERS, and ATEFATLAS created to direct automatic test equipment ATE. Although related, each expert system uses a different knowledge base or inference engine and base their testing on the circuit schematic, test requirements document TRD, or ATLAS code. Implementing generalized modules allows the expert systems to be used for any unit under test. Because of numerous errors in the ATLAS code and problems with the actual hardware connection, a fully operational system was not developed. These expert systems provide insight into the necessary knowledge bases and inference engines needed by an expert system to direct ATE. Using converted ATLAS to LISP code allows the expert system to direct any ATE using ATLAS. The CP-FRL allows the expert system to expand its control by creating the ATLAS code, checking the code for good software engineering techniques, directing the ATE, and changing the test sequence as needed. Originator-Supplied keywords included Artificial Intelligence, Expert system, Automatic test equipment, Aircraft maintenance, Computer programs, Theses.

Descriptors:

• *COMPUTER PROGRAMS
• *TEST EQUIPMENT
• DATA BASES
• AIRCRAFT MAINTENANCE
• THESES
• CODING
• MODULES(ELECTRONICS)
• ARTIFICIAL INTELLIGENCE

Subject Categories:

• Computer Programming and Software
• Test Facilities, Equipment and Methods

Distribution Statement:

APPROVED FOR PUBLIC RELEASE