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Degradation models and implied lifetime distributions
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bae, Suk Joo | - |
| dc.contributor.author | Kuo, Way | - |
| dc.contributor.author | Kvam, Paul H. | - |
| dc.date.accessioned | 2022-12-21T08:17:15Z | - |
| dc.date.available | 2022-12-21T08:17:15Z | - |
| dc.date.issued | 2007-05 | - |
| dc.identifier.issn | 0951-8320 | - |
| dc.identifier.issn | 1879-0836 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/180147 | - |
| dc.description.abstract | In experiments where failure times are sparse, degradation analysis is useful for the analysis of failure time distributions in reliability studies. This research investigates the link between a practitioner's selected degradation model and the resulting lifetime model. Simple additive and multiplicative models with single random effects are featured. Results show that seemingly innocuous assumptions of the degradation path create surprising restrictions on the lifetime distribution. These constraints are described in terms of failure rate and distribution classes. | - |
| dc.format.extent | 8 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier BV | - |
| dc.title | Degradation models and implied lifetime distributions | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1016/j.ress.2006.02.002 | - |
| dc.identifier.scopusid | 2-s2.0-33846217033 | - |
| dc.identifier.wosid | 000244023100010 | - |
| dc.identifier.bibliographicCitation | Reliability Engineering and System Safety, v.92, no.5, pp 601 - 608 | - |
| dc.citation.title | Reliability Engineering and System Safety | - |
| dc.citation.volume | 92 | - |
| dc.citation.number | 5 | - |
| dc.citation.startPage | 601 | - |
| dc.citation.endPage | 608 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Operations Research & Management Science | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
| dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
| dc.subject.keywordAuthor | additive model | - |
| dc.subject.keywordAuthor | bathtub and increasing failure rates | - |
| dc.subject.keywordAuthor | random effects | - |
| dc.subject.keywordAuthor | stochastic ordering | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0951832006000536?via%3Dihub | - |
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