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

ICIII '11 Proceedings of the 2011 International Conference on Information Management, Innovation Management and Industrial Engineering - Volume 01(2011)

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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.
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Key words
diesel turbo supercharger,gas compressor front pressure,turbine front pressure,gas compressor front temperature,gas compressor final pressure,cross validity test,turbine final pressure,turbo supercharger speed,pressure ratio,actual vehicle test,cross validation,predictive models,compressors,fitting,temperature,temperature measurement,prediction model,regression model,indexes,prediction,partial least square regression,regression analysis,indexation
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