An Algorithmic Approach for the Dynamic Reliability Analysis of Non-Repairable Multi-State Weighted <i>k</I>-out-of-<i>n< System
| dc.authorid | Eryilmaz, Serkan/0000-0002-2108-1781 | |
| dc.authorscopusid | 8203625300 | |
| dc.authorscopusid | 56312560000 | |
| dc.authorwosid | Eryilmaz, Serkan/AAF-9349-2019 | |
| dc.contributor.author | Eryilmaz, Serkan | |
| dc.contributor.author | Bozbulut, Ali Riza | |
| dc.contributor.other | Industrial Engineering | |
| dc.date.accessioned | 2024-07-05T14:26:52Z | |
| dc.date.available | 2024-07-05T14:26:52Z | |
| dc.date.issued | 2014 | |
| dc.department | Atılım University | en_US |
| dc.department-temp | [Eryilmaz, Serkan] Atilim Univ, Dept Ind Engn, Ankara, Turkey; [Bozbulut, Ali Riza] TMA, Def Sci Inst, Ankara, Turkey | en_US |
| dc.description | Eryilmaz, Serkan/0000-0002-2108-1781 | en_US |
| dc.description.abstract | In this paper, we study a multi-state weighted k-out-of-n:G system model in a dynamic setup. In particular, we study the random time spent by the system with a minimum performance level of k. Our method is based on ordering the lifetimes of the system's components in different state subsets. Using this ordering along with the Monte-Carlo simulation algorithm, we obtain estimates of the mean and survival function of the time spent by the system in state k or above. We present illustrative computational results when the degradation in the components follows a Markov process. (C) 2014 Elsevier Ltd. All rights reserved. | en_US |
| dc.identifier.citationcount | 35 | |
| dc.identifier.doi | 10.1016/j.ress.2014.06.017 | |
| dc.identifier.endpage | 65 | en_US |
| dc.identifier.issn | 0951-8320 | |
| dc.identifier.issn | 1879-0836 | |
| dc.identifier.scopus | 2-s2.0-84905564720 | |
| dc.identifier.startpage | 61 | en_US |
| dc.identifier.uri | https://doi.org/10.1016/j.ress.2014.06.017 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/191 | |
| dc.identifier.volume | 131 | en_US |
| dc.identifier.wos | WOS:000341466500006 | |
| dc.identifier.wosquality | Q1 | |
| dc.institutionauthor | Eryılmaz, Serkan | |
| dc.institutionauthor | Bozbulut, Ali Rıza | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Sci Ltd | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.scopus.citedbyCount | 41 | |
| dc.subject | Monte-Carlo simulation | en_US |
| dc.subject | Multi-state weighted k-out-of-n:G system | en_US |
| dc.subject | Survival function | en_US |
| dc.title | An Algorithmic Approach for the Dynamic Reliability Analysis of Non-Repairable Multi-State Weighted <i>k</I>-out-of-<i>n< System | en_US |
| dc.type | Article | en_US |
| dc.wos.citedbyCount | 34 | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 37862217-5541-47e3-9406-e21aa38e7fdf | |
| relation.isAuthorOfPublication | 054e58f5-490e-47ba-8d7d-30c492dd8766 | |
| relation.isAuthorOfPublication.latestForDiscovery | 37862217-5541-47e3-9406-e21aa38e7fdf | |
| relation.isOrgUnitOfPublication | 12c9377e-b7fe-4600-8326-f3613a05653d | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 12c9377e-b7fe-4600-8326-f3613a05653d |