Monte Carlo Reliability Analysis

Abstract

The research resulted in major improvements in Markov models to be used in Monte Carlo modeling of reliability problems. These include a number of component dependency models and modeling of unrevealed failures. A new sampling technique, the method of self-transitions, is developed for treating time dependent failure rates, and non Markovian generalizations are made to model replacement of ageing parts and as-good-as-new repair. Keywords: Reliability: Monte Carlo simulation.

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Document Details

Document Type
Technical Report
Publication Date
Apr 24, 1989
Accession Number
ADA210052

Entities

People

  • Elmir E. Lewis

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Contracts
  • Efficiency
  • Engineering
  • Equations
  • Failure Mode And Effect Analysis
  • Maintenance
  • Markov Processes
  • Mechanical Engineering
  • Models
  • Monte Carlo Method
  • Nuclear Engineering
  • Preventive Maintenance
  • Probability
  • Sampling
  • Simulations
  • Students
  • Time Intervals

Fields of Study

  • Education
  • Engineering

Readers

  • Computational Modeling and Simulation
  • Statistical inference.