SYSTEM RELIABILITY PREDICTION BY FUNCTION. VOLUME 1. DEVELOPMENT OF PREDICTION TECHNIQUES.

Abstract

A technique was developed for predicting the reliability of ground electronic systems prior to the actual design of the systems. Reliabil ity data from 51 systems representing over two million system operating hours were analyzed to develop prediction equations based on genera lized system parameters such as complexity, power consumption, and frequency. The prediction equations are of the form Ln theta bo blX1 b2 X2 ... bnXn, where theta is the predicted system mean life and the Xi are measures of equipment characteristics. The coefficients bi were determined by multiple regression analysis. Approximately 40 possible characteristics were investigated. The technique also allows the estimation of confidence intervals for Ln theta. With the use of new data, the prediction tech nique can be updated at any time by the computa tion of new regression equations. The required program (1401 computer, FORTRAN) is presented in an appendix. Te step-by-step procedure is pre sented in Volume II of this report. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1963
Accession Number
AD0416494

Entities

Organizations

  • ARINC

Tags

DTIC Thesaurus Topics

  • Coefficients
  • Computers
  • Data Science
  • Energy Consumption
  • Equations
  • Frequency
  • Information Science
  • Intervals
  • Mathematics
  • Regression Analysis
  • Reliability

Readers

  • Analytical Mechanics
  • Computer Science.
  • Snow Cover Descriptors for Reptiles and Their Illustrations.

Technology Areas

  • Microelectronics