Monte Carlo Reliability Analysis

reportActive / Technical Report | Accession Number: ADA210052 | Open PDF

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.

Author(s):
Lewis, Elmir E.
Author Organization(s):
NORTHWESTERN UNIV EVANSTON IL DEPT OF MECHANICAL ENGINEERING
Descriptive Note:
Final rept. 1 Jul 1984-31 Dec 1988
Supplementary Note:
DOI: 10.21236/ADA210052
Pagination:
0008

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
AFOSR-TR-89-0915
Contract/Grant Number(s):
AFOSR-84-0340
Task Number(s):
A5
Project Number(s):
2304
Monitor Series:
TR-89-0915, AFOSR
 Subject Terms
Joint Capability Areas:
JCA_1_Force Support; JCA_5_Command and Control; JCA_4.3_Maintain; JCA_5.3_Planning; JCA_1.2_Force Preparation; JCA_4.6_Engineering; JCA_1.2.3_Educating; JCA_1.3_Human Capital Management; JCA_1.3.2_Personnel Management; JCA_3.2_Engagement; JCA_3_Force Application; JCA_3.2.1_Kinetic Means
Communities of Interest:
Ground and Sea Platforms
Descriptor(s):
*MONTE CARLO METHOD, *MATHEMATICAL MODELS, *RELIABILITY, MARKOV PROCESSES, SAMPLING, REPLACEMENT, FAILURE, TIME DEPENDENCE, SIMULATION, RATES
Field(s)/Group(s):
Statistics and Probability, Manufacturing and Industrial Engineering and Control of Production Systems
Keyword(s):
PE61102F, WUAFOSR2304A5
Report Date:
1989 Apr 24