RELIABILITY PREDICTION AND DEMONSTRATION FOR AIRBORNE ELECTRONICS.

Abstract

The study was concentrated in two complementary areas: (1) development of Confidence Determination Methods to quantify the degree of uncertainty related to current reliability prediction techniques, and (2) the combining of Bayesian and classical approaches in a proposed Reliability Demonstration Procedure. In the Confidence Determination Methods development, both system and parts level approaches were developed. In both of these approaches a traditional reliability prediction has been teamed with an associated degree of uncertainty quantified in terms of the so-called 'coefficient of variation,' which is the ratio of the standard deviation value to the mean. The package of prediction and 'coefficient of variation' in turn provides required inputs for the proposed reliability demonstration procedure. The prediction package and prior test data are used as the basis for selecting the most cost effective reliability demonstration plan. The selection is systematized through the use of a confidence limit criterion. This allows switching from a so-called 'normal' to a 'reduced' MIL-STD-781A reliability test with resultant reductions in test times if the prior prediction and data are significantly better than contractually required. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1968
Accession Number
AD0841095

Entities

People

  • C. M. Dewitt Iii
  • E. G. N. Yem
  • K. L. Wong
  • R. H. Myers

Organizations

  • Hughes Aircraft Company

Tags

DTIC Thesaurus Topics

  • Airborne
  • Coefficients
  • Confidence Limits
  • Data Science
  • Demonstrations
  • Electronics
  • Information Science
  • Reliability
  • Standards
  • Switching
  • Uncertainty

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.
  • Software Engineering

Technology Areas

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