Authors:
El Hassane Brahmi
;
Lilianne Denis-Vidal
;
Zohra Cherfi
;
Nassim Boudaoud
and
Ghislaine Joly-Blanchard
Affiliation:
University of Technology of Compiègne, France
Keyword(s):
Modeling, Combustion, Diesel Engine, Kriging method, Pollutant.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Nonlinear Signals and Systems
;
Signal Processing, Sensors, Systems Modeling and Control
;
Signal Reconstruction
;
System Identification
Abstract:
The European laws lead to the increase of emission constraints. In order to take into account these constraints, automotive constructors are obliged to create more and more complex systems. This paper presents two stage approaches for the prediction of NOx (nitrogen oxide) emissions, which are based on an ordinary Kriging method. In the first stage, a reduction of data will take place by selecting signals with correlations studies and by using a fast Fourier transformation. In the second stage, the Kriging method is used to solve the problem of the estimation of NOx emissions under given conditions. Numerical results are presented and compared to highlight the effectiveness of the proposed methods.