DocumentCode
715936
Title
Efficient diagnosis technique for aging defects on automotive semiconductor chips
Author
Jihun Jung ; Ansari, Muhammad Adil ; Dooyoung Kim ; Hyunbean Yi ; Sungju Park
Author_Institution
Dept. of Comput. Sci. & Eng., Hanyang Univ., Ansan, South Korea
fYear
2015
fDate
25-29 May 2015
Firstpage
1
Lastpage
2
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.
Keywords
ageing; automotive electronics; flip-flops; power consumption; semiconductor devices; aging effect prediction; aging monitoring operation; automotive semiconductor chips; automotive semiconductor device; capture timing; efficient diagnosis technique; power consumption; semiconductor aging defects; Aging; Clocks; Estimation; Flip-flops; Monitoring; Power demand; Timing; aging monitoring; on-line test; scan flip-flop;
fLanguage
English
Publisher
ieee
Conference_Titel
Test Symposium (ETS), 2015 20th IEEE European
Conference_Location
Cluj-Napoca
Type
conf
DOI
10.1109/ETS.2015.7138767
Filename
7138767
Link To Document