THE VALIDATION OF A MAINTAINABILITY PREDICTION TECHNIQUE FOR AN AIRBORNE ELECTRONIC SYSTEM.

Abstract

A technique for predicting the maintainability, at the field maintenance level, of airborne electronic equipment was investigated. In the technique, which was based on one previously developed for ground electronic systems, design features, skill requirements, facilities and the maintenance environment are used to predict maintenance times. Predictions of elemental task-times involved in maintaining the AN/APX-46 airborne IFF were computed from ratings made independently by Air Force and contractor (RCA) personnel. These predictions were compared with each other and with data collected under field conditions in which malfunctions were artificially introduced. The two independent predictions of overall down time were in close agreement with each other, however, there was little agreement between the elemental task-time predictions. Although the fieldcondition data were limited, the analyses suggest that the prediction equation would tend to overestimate actual times. On the basis of this study it cannot be concluded that the technique, as used, accurately predicts maintenance down-time of airborne electronic equipment. However, it appears that portions of the technique could be used to evaluate the relative maintainability of alternative designs. Suggestions for modifying the techniques and for improving the predictions are presented. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1965
Accession Number
AD0622804

Entities

People

  • B. L. Retterer
  • Donald A. Topmiller
  • G. H. Griswold
  • R. L. Mclaughlin

Tags

DTIC Thesaurus Topics

  • Agreements
  • Air Force
  • Airborne
  • Buildings And Structures
  • Contractors
  • Electronic Equipment
  • Environment
  • Equations
  • Field Conditions
  • Maintainability
  • Maintenance
  • Maintenance Personnel
  • Malfunctions
  • Military Personnel
  • Validation

Readers

  • Aerospace Test and Evaluation
  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.

Technology Areas

  • Microelectronics