• DocumentCode
    1153298
  • Title

    Power supply transient signal analysis for defect-oriented test

  • Author

    Plusquellic, Jim ; Singh, Abhishek ; Patel, Chintan ; Gattiker, Anne

  • Author_Institution
    Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA
  • Volume
    22
  • Issue
    3
  • fYear
    2003
  • fDate
    3/1/2003 12:00:00 AM
  • Firstpage
    370
  • Lastpage
    374
  • Abstract
    Transient signal analysis (TSA) is a testing method that is based on the analysis of a set of VDD transient waveforms measured simultaneously at each supply port. Defect detection is performed by applying linear regression analysis to the time or frequency domain representations of these signals. Chip-wide process variation effects introduce signal variations that are correlated across the individual power port measurements. In contrast, defects introduce uncorrelated local variations across these measurements that can be detected as anomalies in the cross-correlation profile derived (using regression analysis) from the power port measurements of defect-free chips. This paper focuses on the application of TSA to the detection of delay faults.
  • Keywords
    VLSI; delays; fault diagnosis; integrated circuit testing; statistical analysis; transient analysis; IDDT testing; cross-correlation profile; defect-oriented test; delay fault detection; frequency domain representations; linear regression analysis; power port measurements; power supply transient signal analysis; testing method; time domain representations; transient waveforms; Frequency domain analysis; Linear regression; Performance analysis; Power measurement; Power supplies; Semiconductor device measurement; Signal analysis; Signal processing; Testing; Transient analysis;
  • fLanguage
    English
  • Journal_Title
    Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0070
  • Type

    jour

  • DOI
    10.1109/TCAD.2002.807896
  • Filename
    1182082