• DocumentCode
    2820925
  • Title

    Evaluating the Safety of Thermal Power Plant via Grey Clustering

  • Author

    Liu He ; Wang Ya-jing

  • Author_Institution
    Dept. Autom., North China Electr. Power Univ., Beijing, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A method of employing grey clustering to evaluate the safety of thermal power plant was proposed. The safety class of thermal power plant was classified for five grades. The feature space, which represented safety characteristics of thermal power plant, was put forward. The concrete evaluation contents of feature space were provided. The feature vector value to evaluate safety of thermal power plant was got by Delphi´s method. Improved grey clustering based on triangle whitenization function was used to cluster feature vector. Membership degrees belonged to each classification and grey variable weight clustering coefficients were calculated and the safety level of thermal power plant was finally confirmed. The results show that the method can effectively classify the safety level of thermal power plant and provide a way of evaluating safety of thermal power plant.
  • Keywords
    grey systems; safety; statistical analysis; thermal power stations; Delphi´s method; cluster feature vector; concrete evaluation contents; feature space; feature vector value; grey clustering; grey variable weight clustering coefficients; safety characteristics; thermal power plant safety; Boilers; Electrical safety; Management training; Power generation; Power system management; Product safety; Railway safety; Safety devices; Thermal management; Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5363569
  • Filename
    5363569