• DocumentCode
    2092302
  • Title

    Soft fault diagnosis in analogue circuits: a comparison of fuzzy approach with radial basis function networks

  • Author

    Catelani, Marcantonio ; Fort, Ada ; Bigi, Michele ; Singuaroli, Roberto

  • Author_Institution
    Dept. of Electron. Eng., Florence Univ., Italy
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1493
  • Abstract
    A fault diagnosis technique of electronic analogue circuits, based on a fuzzy approach is presented. Its performance is compared to that obtained by a neural network (radial basis function) approach. The effects of noise and of non-faulty parameter tolerance are taken into account
  • Keywords
    analogue circuits; fault simulation; fuzzy logic; fuzzy set theory; pattern classification; pattern clustering; radial basis function networks; unsupervised learning; analogue circuits; fault dictionary; fuzzy approach; fuzzy classifier; noise effect; non-faulty parameter tolerance; optimum classification; radial basis function networks; soft fault diagnosis; supervised algorithm; unsupervised algorithm; Circuit faults; Circuit noise; Circuit testing; Dictionaries; Electrical fault detection; Fault diagnosis; Frequency; Fuzzy neural networks; Neural networks; Radial basis function networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE
  • Conference_Location
    Baltimore, MD
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-5890-2
  • Type

    conf

  • DOI
    10.1109/IMTC.2000.848722
  • Filename
    848722
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2092302