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
Link To Document