• DocumentCode
    2193549
  • Title

    Radar equipment fault diagnosis method based on support vector domain description

  • Author

    Wei, Shang ; Yuying, Liang ; Du Minjie ; Sai, Zhu

  • Author_Institution
    Opt. & Electron. Eng. Dept., Ordnance Eng. Coll., Shijiazhuang, China
  • fYear
    2011
  • fDate
    9-11 Sept. 2011
  • Firstpage
    2193
  • Lastpage
    2195
  • Abstract
    To surmount the problem that radar equipment fault detection data to be hard get, support vector domain description is be used to diagnose radar fault, and have established the kind of classification model based on a classification. This model uses few fault sample and the sample under normal state to establish fault classification model, realizes the fault diagnosis of fault identification and complete radar equipment. Finally, through diagnose fault of logarithm magnifying circuit to verify the feasibility of this method, and reach a good diagnosis result.
  • Keywords
    fault diagnosis; learning (artificial intelligence); radar computing; radar equipment; fault classification model; fault identification; fault sampling; logarithm magnifying circuit; radar equipment fault diagnosis method; support vector domain description; Circuit faults; Fault diagnosis; Mathematical model; Radar equipment; Support vector machines; Training; Comparative radius; Condition monitoring; Fault diagnosis; Support vector domain description (SVDD);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Communications and Control (ICECC), 2011 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4577-0320-1
  • Type

    conf

  • DOI
    10.1109/ICECC.2011.6067639
  • Filename
    6067639