• DocumentCode
    498958
  • Title

    Study on the fuzzy mathematics model for the comprehensive judgment of slagging characteristics of utility boilers

  • Author

    Wang, Jun

  • Author_Institution
    Coll. of Energy & Eng., North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    833
  • Lastpage
    838
  • Abstract
    This paper is to introduce the fuzzy clustering and fuzzy comprehensive judgment methods to establish the evaluation models for predicting the slagging tendency of some power plants in Hebei Province. Three nonconventional slagging indexes such as the non-dimensional diameter of tangential flow circle, the non-dimensional furnace temperature and excessive air, corresponding to the boiler aerodynamic field, furnace temperature and the slagging on the local climate condition, are combined with the four conventional indexes of coal properties to describe the slagging conditions for this models.
  • Keywords
    boilers; fuzzy set theory; power engineering computing; power plants; power system management; fuzzy clustering; fuzzy comprehensive judgment; fuzzy mathematics; power plants; slagging characteristics; utility boilers; Ash; Boilers; Furnaces; Machine learning; Mathematical model; Mathematics; Predictive models; Slag; Temperature; Water heating; Boiler; Fuzzy clustering; Fuzzy comprehensive judgment; Slagging prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212370
  • Filename
    5212370