• DocumentCode
    585250
  • Title

    Black-box modelling of conducted electromagnetic immunity by support vector machines

  • Author

    Ceperic, Vladimir ; Gielen, Georges ; Baric, Adrijan

  • Author_Institution
    FER, Univ. of Zagreb, Zagreb, Croatia
  • fYear
    2012
  • fDate
    17-21 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A concept of modelling electromagnetic immunity (EMI) of integrated circuits (IC) by using support vector machines (SVM) is presented. The problem of detecting, modelling and predicting failure of the integrated circuit operation due to the conducted electromagnetic interferences according to IEC 62132-4 standard is transformed into the classification problem solved by SVM. As a electronic circuit test case, the conducted EMI model of local interconnect network (LIN) interface circuit is presented.
  • Keywords
    IEC standards; computational electromagnetics; electromagnetic interference; electronic engineering computing; failure analysis; integrated circuit interconnections; integrated circuit modelling; integrated circuit reliability; integrated circuit testing; network interfaces; support vector machines; EMI model; IC; IEC 62132-4 standard; LIN interface circuit; SVM; black-box modelling; classification problem; conducted electromagnetic immunity; conducted electromagnetic interference; electromagnetic immunity modelling; electronic circuit test case; failure detection; failure modelling; failure prediction; integrated circuit operation; local interconnect network interface circuit; support vector machine; Data models; Electromagnetic interference; Electromagnetics; Integrated circuit modeling; Support vector machines; Training data; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Compatibility (EMC EUROPE), 2012 International Symposium on
  • Conference_Location
    Rome
  • ISSN
    2325-0356
  • Print_ISBN
    978-1-4673-0718-5
  • Type

    conf

  • DOI
    10.1109/EMCEurope.2012.6396693
  • Filename
    6396693