Cost-effective degradation test plan for a nonlinear random-coefficients model
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Seong-Joon | - |
dc.contributor.author | Bae, Suk Joo | - |
dc.date.accessioned | 2022-07-16T11:17:26Z | - |
dc.date.available | 2022-07-16T11:17:26Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2013-02 | - |
dc.identifier.issn | 0951-8320 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/163467 | - |
dc.description.abstract | The determination of requisite sample size and the inspection schedule considering both testing cost and accuracy has been an important issue in the degradation test. This paper proposes a cost-effective degradation test plan in the context of a nonlinear random-coefficients model, while meeting some precision constraints for failure-time distribution. We introduce a precision measure to quantify the information losses incurred by reducing testing resources. The precision measure is incorporated into time-varying cost functions to reflect real circumstances. We apply a hybrid genetic algorithm to general cost optimization problem with reasonable constraints on the level of testing precision in order to determine a cost-effective inspection scheme. The proposed method is applied to the degradation data of plasma display panels (PDPs) following a bi-exponential degradation model. Finally, sensitivity analysis via simulation is provided to evaluate the robustness of the proposed degradation test plan. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.title | Cost-effective degradation test plan for a nonlinear random-coefficients model | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Bae, Suk Joo | - |
dc.identifier.doi | 10.1016/j.ress.2012.09.010 | - |
dc.identifier.scopusid | 2-s2.0-84867606654 | - |
dc.identifier.wosid | 000312181900008 | - |
dc.identifier.bibliographicCitation | RELIABILITY ENGINEERING & SYSTEM SAFETY, v.110, pp.68 - 79 | - |
dc.relation.isPartOf | RELIABILITY ENGINEERING & SYSTEM SAFETY | - |
dc.citation.title | RELIABILITY ENGINEERING & SYSTEM SAFETY | - |
dc.citation.volume | 110 | - |
dc.citation.startPage | 68 | - |
dc.citation.endPage | 79 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
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.keywordPlus | TO-FAILURE DISTRIBUTION | - |
dc.subject.keywordPlus | MIXED EFFECTS MODELS | - |
dc.subject.keywordPlus | OPTIMAL-DESIGN | - |
dc.subject.keywordPlus | PHARMACOKINETICS | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordAuthor | Degradation test | - |
dc.subject.keywordAuthor | D-optimal design | - |
dc.subject.keywordAuthor | Fisher information matrix | - |
dc.subject.keywordAuthor | Nonlinear random-coefficients model | - |
dc.subject.keywordAuthor | Reliability | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0951832012001901?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.