Monte Carlo Reliability Analysis
Final rept. 1 Jul 1984-31 Dec 1988
NORTHWESTERN UNIV EVANSTON IL DEPT OF MECHANICAL ENGINEERING
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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.
- Statistics and Probability
- Manufacturing and Industrial Engineering and Control of Production Systems