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Reliability Analysis of Accelerated Destructive Degradation Testing Data for Bi-Functional DC Motor Systems

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dc.contributor.authorLee, Chinuk-
dc.contributor.authorLim, Munwon-
dc.contributor.authorKim, Chanjoong-
dc.contributor.authorBae, Suk Joo-
dc.date.accessioned2022-07-07T00:32:13Z-
dc.date.available2022-07-07T00:32:13Z-
dc.date.created2021-07-14-
dc.date.issued2021-03-
dc.identifier.issn2076-3417-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/142215-
dc.description.abstractFeatured Application Automobile, DC motor. An accelerated degradation test (ADT) has become a popular method to accelerate degradation mechanisms by stressing products beyond their normal use conditions. The components of an automobile are degraded over time or cycle due to their constant exposure to friction or wear. Sometimes, the performance degradation can be measured only by destructive inspection such as operating torques of return-springs in a bi-functional DC motor system. Plastic deformation of the return-spring causes the degradation of actuating forces for shield movement, resulting in deterioration of the shield moving speed in a headlight system. We suggest a step-by-step procedure for a reliability analysis for a bi-functional DC motor in a headlight system, based mainly on accelerated destructive degradation test (ADDT) data. We also propose nonlinear degradation models to describe the ADDT data of the return-springs. Exposure effects of high temperatures on the return-springs are quantitatively modeled through the ADDT models. We compare the estimation results from both the closed-form expression and Monte Carlo simulation to predict the failure-time distribution at normal use conditions, showing that the lifetime estimation results from the closed-form formulation are more conservative.-
dc.language영어-
dc.language.isoen-
dc.publisherMDPI-
dc.titleReliability Analysis of Accelerated Destructive Degradation Testing Data for Bi-Functional DC Motor Systems-
dc.typeArticle-
dc.contributor.affiliatedAuthorBae, Suk Joo-
dc.identifier.doi10.3390/app11062537-
dc.identifier.scopusid2-s2.0-85102928802-
dc.identifier.wosid000645808300001-
dc.identifier.bibliographicCitationAPPLIED SCIENCES-BASEL, v.11, no.6, pp.1 - 12-
dc.relation.isPartOfAPPLIED SCIENCES-BASEL-
dc.citation.titleAPPLIED SCIENCES-BASEL-
dc.citation.volume11-
dc.citation.number6-
dc.citation.startPage1-
dc.citation.endPage12-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryEngineering, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordAuthoraccelerated destructive degradation test-
dc.subject.keywordAuthordegradation model-
dc.subject.keywordAuthorfault tree analysis-
dc.subject.keywordAuthorMonte Carlo simulation-
dc.subject.keywordAuthorreliability-
dc.identifier.urlhttps://www.mdpi.com/2076-3417/11/6/2537-
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