• 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