Knowledge Based Tools for Electronic Equipment Maintenance,

Abstract

The sophisticated weapon systems on which our national defense depend pose considerable maintenance problems. Increased training costs, reduced training budgets, and a widening gap between the skills of entry-level personnel and the abilities required to maintain such weapon systems suggests the need for improved job performance aids and on-the-job training. Knowledge based tools for electronic equipment maintenance offer a novel approach to this problem. This paper presents our experience at Smart Systems Technology over the past eighteen months in building knowledge based maintenance aids for electronic equipment. The presentation begins with a discussion of ARBY in the context of the Network Diagnostic System, and concludes with an overview of the Knowledge Engineering Language.

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1984
Accession Number
ADP003940

Entities

People

  • Thomas L. Williams

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Electronic Equipment
  • Job Training
  • Language
  • Maintenance
  • National Security
  • Training
  • Weapon Systems
  • Weapons

Readers

  • Economics
  • Instructional Design and Training Evaluation.

Technology Areas

  • Microelectronics