Detailed Information

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

On Diagnosing the Aging Level of Automotive Semiconductor Devices

Full metadata record
DC Field Value Language
dc.contributor.authorJung, Jihun-
dc.contributor.authorAnsari, Muhammad Adil-
dc.contributor.authorKim, Dooyoung-
dc.contributor.authorYi, Hyunbean-
dc.contributor.authorPark, Sungju-
dc.date.accessioned2021-06-22T14:01:53Z-
dc.date.available2021-06-22T14:01:53Z-
dc.date.issued2017-07-
dc.identifier.issn1549-7747-
dc.identifier.issn1558-3791-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/9485-
dc.description.abstractSemiconductor aging is a serious threat to the reliability of a system. We address the aging level of semiconductor components by describing the degree of semiconductor aging under certain operating conditions, including voltage, frequency, temperature, and usage rate. Aging level information can be used to follow the real aging rate of a device, predict the remaining life, and control the device performance under certain degradation conditions by balancing the operation of various device components. Such applications can improve the reliability of automotive semiconductor systems, which should have longer lives than mobile systems. In this brief, we present an aging level estimating flip-flop (FF) that can be used for these and other applications as well. Moreover, we can control the operation of the proposed FF by controlling its clock and control signals. We demonstrate an application of the proposed FF for aging-monitoring, showing that, by halting the operation of the proposed FF, the power consumption is significantly reduced compared with other approaches.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleOn Diagnosing the Aging Level of Automotive Semiconductor Devices-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/TCSII.2016.2601959-
dc.identifier.scopusid2-s2.0-85028384807-
dc.identifier.wosid000404341400018-
dc.identifier.bibliographicCitationIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, v.64, no.7, pp 822 - 826-
dc.citation.titleIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS-
dc.citation.volume64-
dc.citation.number7-
dc.citation.startPage822-
dc.citation.endPage826-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusFAILURE PREDICTION-
dc.subject.keywordAuthorAging level-
dc.subject.keywordAuthoraging-monitoring-
dc.subject.keywordAuthorguard band-
dc.subject.keywordAuthoronline test-
dc.subject.keywordAuthorscan flip-flop (FF)-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7548308-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE