• DocumentCode
    2222553
  • Title

    A Model For Fault Prevention Based on Artificial Immune Theory

  • Author

    Wang, Yi ; Liu, Kai ; Zhang, Haiyan

  • Author_Institution
    Sch. of Mech. & Precision Instrum. Eng., X´´an Univ. of Technol., Xi´´an, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    3564
  • Lastpage
    3566
  • Abstract
    In this paper, we introduced the recognition mode of biological immunity and presented a model for fault prevention based on the artificial immune theory. The recognition rate, failure rate and misjudgment rate of the fault prevention system are defined and corresponding mathematic formulations are presented. The mathematic model of fault prevention based on the artificial immunity theory have the character of convergence, dynamic protection, and robustness, etc.
  • Keywords
    artificial immune systems; mathematical analysis; reliability theory; artificial immune theory; biological immunity; failure rate; fault prevention model; mathematic formulations; misjudgment rate; recognition mode; recognition rate; Artificial immune systems; Biological system modeling; Fault diagnosis; Immune system; Information science; Machine learning; Mathematical model; Mathematics; Neodymium; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.67
  • Filename
    5455118