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dc.contributor.author이동희-
dc.date.accessioned2019-08-05T00:32:45Z-
dc.date.available2019-08-05T00:32:45Z-
dc.date.issued2019-01-
dc.identifier.citationINTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, v. 26, NO 1, Page. 83-91en_US
dc.identifier.issn1072-4761-
dc.identifier.issn1943-670X-
dc.identifier.urihttps://access.hanyang.ac.kr/link.n2s?url=http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=135984085&lang=ko&site=eds-live-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/108188-
dc.description.abstractAccelerated Life Testing (ALT) aims at predicting times-to-failure under normal operating condition. The prediction requires times-to-failure data under ALT operation conditions, however, it is difficult to obtain the times-to-failure data of semiconductor chips when only few failures occur. In this regard, we attempt to predict times-to-failure of semiconductor chips by using Vmin data. Since Vmin are measured for all of tested chips regardless of failure, we can predict times-to-failure for all of the chips. The proposed method is more informative and robust than the traditional life data approach in that all of the tested semiconductor chips participate in the life prediction process.en_US
dc.description.sponsorshipThis work was supported by the research fund of Hanyang University (HY-2018)en_US
dc.language.isoenen_US
dc.publisherUNIV CINCINNATI INDUSTRIAL ENGINEERINGen_US
dc.subjectaccelerated life testingen_US
dc.subjecttimes-to-failureen_US
dc.subjectsemiconductoren_US
dc.titlePREDICTION OF TIMES-TO-FAILURE OF SEMICONDUCTOR CHIPS USING VMIN DATAen_US
dc.typeArticleen_US
dc.relation.no1-
dc.relation.volume26-
dc.relation.page83-91-
dc.relation.journalINTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE-
dc.contributor.googleauthorLee, Heejung-
dc.contributor.googleauthorLee, Donghee-
dc.relation.code2019041855-
dc.sector.campusS-
dc.sector.daehakDIVISION OF INDUSTRIAL INFORMATION STUDIES[S]-
dc.sector.departmentDIVISION OF INDUSTRIAL INFORMATION STUDIES-
dc.identifier.piddh-
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