Name
Title | ||
|---|---|---|
Estimation of the importance measures of multi-state elements by Monte Carlo simulation |
Abstract | ||
|---|---|---|
A generalization of some frequently used importance measures has been proposed by some of the authors for application to multi-state systems constituted by multi-state elements. This paper deals with the Monte Carlo (MC) estimation of these measures, which entails evaluating the system output performance under restrictions on the performance levels of its multi-state elements. Simulation procedures are proposed according to two different performance-restriction approaches. Further, the flexibility of the MC method is exploited to account for load-sharing and operational dependencies among parallel elements. The approach is tested on a multi-state transmission system of literature. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.ress.2004.01.009 | Reliability Engineering & System Safety |
Keywords | DocType | Volume |
Importance measure,Multi-state system,Multi-state elements,Load-sharing,Dependencies,Monte Carlo simulation | Journal | 86 |
Issue | ISSN | Citations |
3 | 0951-8320 | 23 |
PageRank | References | Authors |
2.01 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enrico Zio | 1 | 1100 | 145.38 |
| Luca Podofillini | 2 | 383 | 31.44 |
| Gregory Levitin | 3 | 549 | 55.61 |