DocumentCode
2179747
Title
Integrated circuit reliability prediction based on physics-of-failure models in conjunction with field study
Author
Hava, A. ; Jin Qin ; Bernstein, J.B. ; Bot, Y.
Author_Institution
Motorola Solution Ltd., Airport City, Israel
fYear
2013
fDate
28-31 Jan. 2013
Firstpage
1
Lastpage
6
Abstract
Microelectronics device reliability has been improving with every generation of technology whereas the density of the circuits continues to double approximately every 18 months. We studied field data gathered from a large fleet of mobile communications products that were deployed over a period of 8 years in order to examine the reliability trend in the field. We extrapolated the expected failure rate for a series of microprocessors and found a significant trend whereby the circuit failure rate increases approximately half the rate of the technology, going up by approximately √2 in that same 18 month period.
Keywords
failure analysis; integrated circuit modelling; integrated circuit reliability; circuit failure rate; integrated circuit reliability prediction; microelectronics device reliability; microprocessors; mobile communications products; physics-of-failure models; Failure analysis; Integrated circuit modeling; Integrated circuit reliability; Microcontrollers; Predictive models; Stress; Failure Rate; Physics-of-Failure; Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium (RAMS), 2013 Proceedings - Annual
Conference_Location
Orlando, FL
ISSN
0149-144X
Print_ISBN
978-1-4673-4709-9
Type
conf
DOI
10.1109/RAMS.2013.6517737
Filename
6517737
Link To Document