A study of the feasibility of using engine operating parameters to predict and minimise exhaust emissions from a direct injection H.D. Diesel engine through the use of Neural Networks (NN) was conducted.The objective is to create a mathematical tool that, learning from a large number of experimental data obtained under different operating conditions, is able to parametrize oxides of nitrogen (NOx) and particulate matter (PM) exhaust emissions as a function of engine operating parameters.Once satisfactory NN predictive results were obtained, the tool was also used to simultaneously optimise several operating parameters for low exhaust emissions. The optimisation was based on a minimising process related to EURO IV standards regulations.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Application of Neural Networks for Prediction and Optimization of Exhaust Emissions in a H.D. Diesel Engine


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE 2002 World Congress & Exhibition ; 2002



    Erscheinungsdatum :

    2002-03-04




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Prediction of Diesel Engine Exhaust Emissions Using Artificial Neural Networks

    Gamo, S. / Ouladsine, M. / Rachid, A. et al. | British Library Conference Proceedings | 1998


    Application of Neural Networks for Prediction and optimization or Exhaust Emissions in a H.D. Diesel Engine

    Desantes, J. M. / Lopez, J. J. / Garcia, J. M. et al. | British Library Conference Proceedings | 2002



    Diesel engine exhaust emissions modelling using artificial neural networks

    Gamo,S.O. / Ouladsine,M. / Rachid,A. et al. | Kraftfahrwesen | 1999


    Diesel Engine Exhaust Emissions Modelling Using Artificial Neural Networks

    Ouenou Gamo, S. / Ouladsine, M. / Rachid, A. et al. | British Library Conference Proceedings | 1999