• DocumentCode
    1734382
  • Title

    Prediction on turbine supercharger speed of diesel engines based on projection pursuit regression

  • Author

    Dong, Yucai ; Zhang, Ling ; Yi, Lianghai ; Lin, Min ; Fan, Gehua

  • Author_Institution
    Inst. of Nonlinear Sci., Acad. of Armored Force Eng., Beijing, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    881
  • Lastpage
    884
  • Abstract
    In the plateau environment with low pressure, turbine supercharger speed is an important parameter to supervise working condition of diesel engines. In view of the problems of installation difficulty and low measurement accuracy in measurement of turbine supercharger speed in vehicles, this paper sets up a projection pursuit regression (PPR) model to predict turbine supercharger speed. The calculation result indicates that the fitting effect of this model is obviously superior to that of any other regression models, which has great significance to prediction on turbine supercharger speed of diesel engines in a low pressure environment.
  • Keywords
    diesel engines; fuel systems; regression analysis; turbines; velocity measurement; diesel engines working condition; projection pursuit regression; speed measurement; turbine supercharger speed; Diesel engines; Fitting; Kernel; Pollution measurement; Predictive models; Turbines; Vehicles; Diesel Engines; Projection Pursuit Regression; Turbine Supercharger Speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182102
  • Filename
    6182102