• DocumentCode
    2861091
  • Title

    A Method of Fault Diagnosis in Nuclear Plant Based on Fuzzy Sets

  • Author

    Li, ZhiChun ; Liu, XiaoMin

  • Author_Institution
    Inf. Technol. Center, China Nucl. Power Technol. Res. Inst., Shenzhen, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    264
  • Lastpage
    266
  • Abstract
    Nuclear power plant is a large and complex system, when it fail, a fast and accurate fault diagnosis is needed to ensure a safe and efficient working of nuclear power plant. In this paper, the feasibility of exploiting fault diagnosis system based on fuzzy sets theory in nuclear plant was demonstrated. The genetic algorithm was introduced to optimize the rules of diagnosis, so as to achieve fast fault diagnosis of nuclear power plant, to ensure maximum security and stability of the power plant.
  • Keywords
    fault diagnosis; fuzzy set theory; genetic algorithms; nuclear power stations; fault diagnosis; fuzzy sets theory; genetic algorithm; nuclear power plant; Fault diagnosis; Fuzzy set theory; Fuzzy sets; Genetic algorithms; Optimization; Power generation; Redundancy; Nuclear power plant; fault diagnosis; fuzzy sets; genetic algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
  • Conference_Location
    Shenzhan
  • Print_ISBN
    978-1-4577-1219-7
  • Type

    conf

  • DOI
    10.1109/IBICA.2011.69
  • Filename
    6118594