• DocumentCode
    1799160
  • Title

    A novel method to optimum test-nodes selection in analog-circuit fault diagnosis

  • Author

    Xin Gao

  • Author_Institution
    Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    18-20 Aug. 2014
  • Firstpage
    424
  • Lastpage
    429
  • Abstract
    This paper proposes a novel test-nodes selection procedure for parametric fault diagnosis in analog circuit. In this procedure, one considers the impedance value as the most important circuit parameter in fault diagnosis, and establish a closed-form function between circuit impedance and voltage phasor. Such this closed-form function is presented through a few critical faulty voltage phasor response measurements, with which the ambiguous component group can be located. Then the problem of test-nodes selection means to increase testable components number and decrease ambiguous fault-pairs. The automation of the test-nodes selection is tested in an analog circuit benchmark with a bipartite modeling based on fault pair isolation table. The result shows that the proposed test-nodes selection (TNS) procedure is indeed to minimize the size of the test-nodes set, being in the comparison to the exhaustive method.
  • Keywords
    analogue circuits; benchmark testing; circuit testing; fault diagnosis; TNS procedure; analog circuit benchmark; analog-circuit fault diagnosis; bipartite modeling; circuit impedance; circuit parameter; closed-form function; fault pair isolation table; impedance value; optimum test-node selection; voltage phasor response measurement; Analog circuits; Circuit faults; Dictionaries; Fault diagnosis; Impedance; Integrated circuit modeling; Voltage measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2014 Fifth International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4799-3649-6
  • Type

    conf

  • DOI
    10.1109/ICICIP.2014.7010291
  • Filename
    7010291