Efficient diagnosis technique for aging defects on automotive semiconductor chips
- Authors
- Jung, Jihun; Ansari, M.A.; Kim, Dooyoung; Yi, Hyunbean; Park, Sungju
- Issue Date
- May-2015
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- aging monitoring; on-line test; scan flip-flop
- Citation
- Proceedings - 2015 20th IEEE European Test Symposium, ETS 2014, pp 1 - 2
- Pages
- 2
- Indexed
- SCIE
SCOPUS
- Journal Title
- Proceedings - 2015 20th IEEE European Test Symposium, ETS 2014
- Start Page
- 1
- End Page
- 2
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/20578
- DOI
- 10.1109/ETS.2015.7138767
- ISSN
- 1530-1877
1558-1780
- Abstract
- The semiconductor aging is one of the serious threats for the reliability of the system. This paper presents an efficient mechanism for predicting the aging effect. The captured data will be unloaded by shift operation, then verified through the aging monitoring operation. Especially the aging level of automotive semiconductor devices can be estimated by controlling the capture timing. Since the aging monitoring function is efficiently on and off during normal operation, power consumption can be reduced significantly compared with other approaches. © 2015 IEEE.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles

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