• DocumentCode
    3019858
  • Title

    The Application of Self Immune Genetic Arithmetic in Fault Diagnose of Electric System

  • Author

    Liu, Shurong ; Meng, Xingping

  • Author_Institution
    Dept. of Electr. Eng., Changchun Inst. of Technol., Changchun, China
  • Volume
    4
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    565
  • Lastpage
    569
  • Abstract
    The steady running of electric system is attained much more attention. This paper presents a newly-improved Immune Genetic Arithmetic for the Fault Diagnose of electric system, introduces new Immune operator and brings out the specific module included in the Immune operator. Multiformity processing promises the diversity of species in the system and prevents trapping in the local optimization. The choosing of self-immune system and real-time updating of vaccine enhance individual immunity, avoid the lost of optimal solution, accelerate evolving and promise real-time quality. The theory analysis and test of examples proves that the arithmetic advances convergence velocity effectively, promise the real-time quality of the system, and realize the fault diagnose of the electric system.
  • Keywords
    fault diagnosis; genetic algorithms; power system faults; self-adjusting systems; convergence velocity; electric system fault diagnose; local optimization trapping; real-time quality; self immune genetic arithmetic; species diversity; Arithmetic; Circuit faults; Diagnostic expert systems; Fuzzy systems; Genetics; Immune system; Neurons; Real time systems; Sampling methods; Vaccines; Electric System; Fault Diagnos; Immune Genetic Arithmetic; Self-Immune;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.286
  • Filename
    5376238