• DocumentCode
    3663883
  • Title

    Construction of diagnostic features space using Volterra kernels moments

  • Author

    Oleksandr Fomin;Vitaliy Pavlenko

  • Author_Institution
    Department of computerized control system, Odessa National Polytechnic University, Odessa, Ukraine
  • fYear
    2015
  • Firstpage
    1022
  • Lastpage
    1027
  • Abstract
    The paper presents an informational technology for improving the reliability of nonlinear dynamic objects fault diagnosing using model-based diagnostics method of nonparametric identification. Diagnostic models build on the base of Volterra kernels moments. The efficiency of the proposed diagnostic models analyzes on an nonlinear dynamic objects simulation model.
  • Keywords
    "Kernel","Noise","Nonlinear dynamical systems","Computational modeling","Aerospace electronics","Reliability","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2015 20th International Conference on
  • Type

    conf

  • DOI
    10.1109/MMAR.2015.7284019
  • Filename
    7284019
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3663883