DORMANT OPERATING AND STORAGE EFFECTS ON ELECTRONIC EQUIPMENT AND PART RELIABILITY.

Abstract

The importance of storage or non-operating mode failure rate data for electronic component parts has been underscored in recent years with the deployment of electronic equipment and of missiles in silos, in the field, or in depots throughout the United States of America and the rest of the world. This report describes how a failure rate chart, which is applicable to component parts obtained from MIL-STD sources of supply, has been constructed for the non-operating mode. In combination with data accumulated at Martin Orlando through storage tests of missiles, of missile sections, and of printed circuit boards, the technique of ranking analysis was used to develop the non-operating failure rate chart. The failures uncovered to date indicate that storage screens out or precipitates latent manufacturing defects. It may, therefore, be inferred that component parts of a higher quality than those available from MIL-STD sources would have proportionally lower failure rates. No representative aging failure mechanisms have been found. Thus, the failure rate chart may also be useful as a starting point for evaluating the storage mode of high reliability parts such as the established reliability parts used on Minuteman, the 39,000 series of parts sponsored by DOD, or the 38,000 series of parts used by the Air Force. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1965
Accession Number
AD0474614

Entities

People

  • John Bauer
  • Robert Dietz
  • William Hadley

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Circuit Boards
  • Electronic Components
  • Electronic Equipment
  • Failure Mode And Effect Analysis
  • High Reliability
  • Printed Circuit Boards
  • Printed Circuits
  • Reliability
  • United States

Fields of Study

  • Engineering

Readers

  • Aerospace Test and Evaluation
  • Regression Analysis.
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Microelectronics