A MONTE CARLO TECHNIQUE FOR OBTAINING SYSTEM RELIABILITY CONFIDENCE LIMITS FROM COMPONENT FAILURE TEST DATA.

Abstract

A digital computer technique is developed, using Monte Carlo simulation based on common probability failure models, with which component failure test data may be translated into system reliability confidence limits at any specified confidence level for systems composed of elements exhibiting different failure patterns. Derivation of predicted confidence limits for such systems cannot be accomplished analytically. Since reliability prediction is meaningful only when expressed within a range of values and with an associated confidence that the true reliability is within that range, a valuable and economic tool is provided for the reliability analyst. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1964
Accession Number
AD0610773

Entities

People

  • Louis L. Levy

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Computers
  • Confidence Limits
  • Control Simulators
  • Data Science
  • Digital Computers
  • Information Science
  • Mathematics
  • Monte Carlo Method
  • Probability
  • Reliability
  • Simulations
  • Simulators

Fields of Study

  • Engineering

Readers

  • Regression Analysis.