• DocumentCode
    560230
  • Title

    Application of the Partial Least Square in Prediction of Turbo Supercharger Speed

  • Author

    Dong, Yucai ; Fan, Gehua ; Zhang, Ling ; Yi, Lianghai ; Chen, Ping

  • Author_Institution
    Inst. of Nonlinear Sci., Acad. of Armored Force Eng., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    26-27 Nov. 2011
  • Firstpage
    235
  • Lastpage
    238
  • Abstract
    We can judge the diesel active state by measuring the turbo supercharger speed, but in practical measurement, there are always many problems. In this paper, we build the regression model of relationship between turbo supercharger speed and pressure ratio, intake flow, turbine final pressure, turbine front pressure, turbine final temperature, gas compressor final pressure, gas compressor front pressure and gas compressor front temperature by the partial least square and cross validity test. Through the test, the explanation ability for the independent variables and the dependent variables of the model exceed 99%. Comparing with the practical values, this model has higher fitting precision and better prediction ability. This method solves the problem of install difficulty during actual vehicle measuring and the low precision which has great significance to the actual vehicle test of diesel turbo supercharger in low temperature conditions.
  • Keywords
    compressors; diesel engines; fuel systems; least squares approximations; regression analysis; cross validity test; diesel active state; partial least square; regression model; turbine; turbo supercharger speed prediction; turbo-charged diesel; Fitting; Indexes; Predictive models; Temperature; Temperature measurement; Turbines; Vehicles; prediction; regression model; the partial least square; turbo supercharger speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-61284-450-3
  • Type

    conf

  • DOI
    10.1109/ICIII.2011.61
  • Filename
    6114622