• DocumentCode
    1733302
  • Title

    Symbolic techniques in neural network based fault diagnosis of analog circuits

  • Author

    Grasso, Francesco ; Luchetta, Antonio ; Manetti, Stefano ; Piccirilli, Maria Cristina

  • Author_Institution
    Dept. of Electron. & Telecommun., Univ. of Florence, Firenze, Italy
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The importance of symbolic analysis in the neural network approach to analog circuit fault diagnosis is discussed in this paper. Theoretical explanations and two explicative examples are presented, by taking into account the k-fault hypothesis.
  • Keywords
    analogue circuits; electronic engineering computing; fault simulation; neural nets; analog circuits; fault diagnosis; k-fault hypothesis; neural network; symbolic technique; Analog circuits; Artificial neural networks; Band pass filters; Circuit faults; Equations; Fault location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD), 2010 XIth International Workshop on
  • Conference_Location
    Gammath
  • Print_ISBN
    978-1-4244-6816-4
  • Type

    conf

  • DOI
    10.1109/SM2ACD.2010.5672314
  • Filename
    5672314
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1733302