• DocumentCode
    1183262
  • Title

    Test chip based approach to automated diagnosis of CMOS yield problems

  • Author

    Lukaszek, Wes ; Grambow, Kai G. ; Yarbrough, Willie J.

  • Author_Institution
    Center for Integrated Syst., Stanford Univ., CA, USA
  • Volume
    3
  • Issue
    1
  • fYear
    1990
  • fDate
    2/1/1990 12:00:00 AM
  • Firstpage
    18
  • Lastpage
    27
  • Abstract
    The authors describe a design approach for, and experimental results obtained from, a test chip developed for the purpose of automated diagnosis of random-defect-dominated yield problems of CMOS ICs. Unlike test chips comprised of ad hoc collections of test structures, the test chip described here is based on the notion of systematic structural decomposition, employed to ensure complete sets of structures required for unambiguous identification of all structural features associated with electrical faults. Test structure selection, sizing, layout, testing, and data analysis are discussed, and examples of rejected wafers are presented to illustrate the direct and straightforward way in which unambiguous diagnosis are obtained. Conclusions related to implementation of an expert system for automated CMOS process problem diagnosis employing the data obtained from this test chip are summarized
  • Keywords
    CMOS integrated circuits; automatic testing; data analysis; electronic engineering computing; expert systems; integrated circuit manufacture; integrated circuit testing; production testing; quality control; CMOS ICs; IC process monitoring; automated diagnosis; data analysis; design approach; expert system; layout; quality control; random-defect-dominated yield problems; rejected wafers; sizing; systematic structural decomposition; test chip bared method; test structure selection; testing; Automatic testing; CMOS process; Data engineering; Diagnostic expert systems; Fabrication; Fault diagnosis; Inspection; Manufacturing; Monitoring; System testing;
  • fLanguage
    English
  • Journal_Title
    Semiconductor Manufacturing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0894-6507
  • Type

    jour

  • DOI
    10.1109/66.47972
  • Filename
    47972