• DocumentCode
    2051866
  • Title

    Classes of difficult-to-diagnose transition fault clusters

  • Author

    Pomeranz, Irith

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2013
  • fDate
    2-4 Oct. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An earlier paper showed that the accuracy of a fault diagnosis procedure based on single faults is reduced when it attempts to diagnose transition faults that are clustered in an area. This is due to the increased possibility that the effects of clustered faults will interact. This paper defines three different types of clusters. In path-based clusters, transition faults are clustered along a subpath. In adjacency-based clusters, transition faults are clustered on adjacent lines. In cone-based clusters, transition faults are clustered in a logic cone. Adjacency-based clusters were considered earlier. This paper shows that cone-based clusters are more difficult to diagnose. They thus provide a more challenging target for diagnosis procedures based on single faults, and they can explain reports of difficult-to-diagnose defects.
  • Keywords
    fault diagnosis; logic testing; adjacency-based clusters; cone-based clusters; difficult-to-diagnose transition fault clusters; logic cone; path-based clusters; transition fault clustering; transition fault diagnosis; Circuit faults; Delays; Runtime; Fault diagnosis; full-scan circuits; multiple transition faults;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2013 IEEE International Symposium on
  • Conference_Location
    New York City, NY
  • ISSN
    1550-5774
  • Print_ISBN
    978-1-4799-1583-5
  • Type

    conf

  • DOI
    10.1109/DFT.2013.6653574
  • Filename
    6653574