Accession Number:

ADP003939

Title:

Application of Artificial Intelligence to Equipment Maintenance,

Descriptive Note:

Corporate Author:

GENERAL DYNAMICS SAN DIEGO CA ELECTRONICS DIV

Personal Author(s):

Report Date:

1984-06-01

Pagination or Media Count:

17.0

Abstract:

All military services are confronted with increased training costs, reduced training budgets and a widening gap between the skills of entry-level personnel and the abilities required to maintain increasingly sophisticated systems. Institutional training is being minimized, and more emphasis is placed on on-the-job training. This requires a greater reliance on built-in test equipment and organic automatic test equipment support. Unfortunately, automated testing built-in or off-line does not unambiguously fault-isolate all of the time. The result is a high rate up to 30 of removal and replacement of non-faulty assemblies. Reduction of the number of suspected faulty assemblies within an ambiguity group requires manual troubleshooting. The manual troubleshooting procedure used to fault isolate to a single assembly typically involves an exhaustive method of remove-replace-retest. This manual troubleshooting method is expensive in terms of both test time and logistics support. A computer-based intelligent Maintenance Aid offers a solution to this problem. Author

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE