• DocumentCode
    425717
  • Title

    Data mining integrated circuit fails with fail commonalities

  • Author

    Huisman, Leendert M. ; Kassab, Maroun ; Pastel, Leah

  • Author_Institution
    IBM Microelectron., Essex Junction, VT, USA
  • fYear
    2004
  • fDate
    26-28 Oct. 2004
  • Firstpage
    661
  • Lastpage
    668
  • Abstract
    We describe ways to use fail data from many failing integrate circuits (ICs) to determine which ICs failed because of similar causes, rather than to determine the cause of each individual failing IC. The purpose of finding clusters of similarly failing ICs is to focus on systematic defects, and to de-emphasize random ones. Once large groups of similarly failing ICs have been identified, a selection of the ICs in each group can be diagnosed using standard diagnostic routines.
  • Keywords
    data mining; failure analysis; integrated circuit reliability; data mining; fail commonalities; failure diagnosis; integrated circuit fails; standard diagnostic routines; Circuits; Data mining; Dictionaries; Failure analysis; Fault diagnosis; Inspection; Manufacturing processes; Microelectronics; Object detection; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test Conference, 2004. Proceedings. ITC 2004. International
  • Print_ISBN
    0-7803-8580-2
  • Type

    conf

  • DOI
    10.1109/TEST.2004.1387327
  • Filename
    1387327