Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Degradation models and implied lifetime distributions

Full metadata record
DC Field Value Language
dc.contributor.authorBae, Suk Joo-
dc.contributor.authorKuo, Way-
dc.contributor.authorKvam, Paul H.-
dc.date.accessioned2022-12-21T08:17:15Z-
dc.date.available2022-12-21T08:17:15Z-
dc.date.issued2007-05-
dc.identifier.issn0951-8320-
dc.identifier.issn1879-0836-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/180147-
dc.description.abstractIn 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.extent8-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier BV-
dc.titleDegradation models and implied lifetime distributions-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1016/j.ress.2006.02.002-
dc.identifier.scopusid2-s2.0-33846217033-
dc.identifier.wosid000244023100010-
dc.identifier.bibliographicCitationReliability Engineering and System Safety, v.92, no.5, pp 601 - 608-
dc.citation.titleReliability Engineering and System Safety-
dc.citation.volume92-
dc.citation.number5-
dc.citation.startPage601-
dc.citation.endPage608-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryEngineering, Industrial-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.subject.keywordAuthoradditive model-
dc.subject.keywordAuthorbathtub and increasing failure rates-
dc.subject.keywordAuthorrandom effects-
dc.subject.keywordAuthorstochastic ordering-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0951832006000536?via%3Dihub-
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 산업공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Bae, Suk Joo photo

Bae, Suk Joo
COLLEGE OF ENGINEERING (DEPARTMENT OF INDUSTRIAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE