• DocumentCode
    2380046
  • Title

    An efficient built-in self-test algorithm for neighborhood pattern sensitive faults in high-density memories

  • Author

    Kang, Dong-Chual ; Cho, Sang-Bock

  • Author_Institution
    Sch. of Electr., Electron. & Autom. Eng., Ulsan Univ., South Korea
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    218
  • Abstract
    As the density of memories increases, unwanted interference between cells is increased and testing high density memories for a high degree of fault coverage can require either a relatively large number of test vectors or a significant amount of additional test circuitry. In this paper, a new thing method and an efficient BIST algorithm for NPSFs are proposed. Instead of the conventional five-cell and nine-cell physical neighborhood layouts to test memory cells, a four-cell layout is used. This four-cell layout requires smaller test vectors and shorter test time. A CMOS column decoder and the parallel comparator proposed by P. Mazumder and J.H. Patel are modified to implement test procedure which is appropriate for the four-cell layout. Consequently, these reduce the number of transistors used for a BIST circuit. Also, we present properties of the algorithm, such as its capability to detect stuck-at faults, transition faults, and conventional pattern sensitive faults
  • Keywords
    built-in self test; fault diagnosis; integrated circuit testing; integrated memory circuits; CMOS column decoder; built-in self-test algorithm; four-cell layout; high-density memory; neighborhood pattern sensitive faults; parallel comparator; stuck-at faults; transition faults; Automatic testing; Automation; Built-in self-test; Circuit faults; Circuit testing; Decoding; Electrical fault detection; Electronic equipment testing; Interference; Read-write memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Technology, 2000. KORUS 2000. Proceedings. The 4th Korea-Russia International Symposium on
  • Conference_Location
    Ulsan
  • Print_ISBN
    0-7803-6486-4
  • Type

    conf

  • DOI
    10.1109/KORUS.2000.866029
  • Filename
    866029