• 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