• DocumentCode
    2165690
  • Title

    Study on Fault Diagnosis for radar´s transmitter based on Bayesian network

  • Author

    Lijia, Xu ; Zhiliang, Kang

  • Author_Institution
    School of Information & Engineering Technology, Sichuan Agriculture University, Ya´´an, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    5448
  • Lastpage
    5451
  • Abstract
    Fault Diagnosis for radar´s transmitter is very crucial, yet very difficult. Transmitter is complex electrical equipment whose units are full of uncertain factors and information. The paper puts forward a new fault diagnosis method based on Bayesian network for the transmitter. The cause-result graph of transmitter is gained by analyzing its structure firstly, and then the fault model based on Bayesian network is built. The next step is to study its parameters by using certain algorithm. Finally the fault model is tested, and the experiment results show that the proposed method is very effective for diagnose the faults of transmitter.
  • Keywords
    Agriculture; Bayesian methods; Educational institutions; Fault diagnosis; Learning; Radar; Transmitters; Bayesian network; Radar transmitter; fault diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691929
  • Filename
    5691929