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
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