The present study proposes the use of a MLP neural network to model the relationship between the engine crankshaft speed and parameters derived from the in-cylinder pressure cycle. This allows to have an indirect measure of cylinder pressure permitting a real time evaluation of combustion quality. The structure of the model and the training procedure is outlined in the paper. The application of the model is demonstrated on a single-cylinder engine with data from a wide range of speed and load. Results confirm that a good estimation of combustion pressure parameters can be obtained by means of a suitable processing of crankshaft speed signal.


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    Titel :

    Use of Engine Crankshaft Speed for Determination of Cylinder Pressure Parameters


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Vaglieco, B. M. (Autor:in) / Taglialatela, F. (Autor:in) / Lavorgna, M. (Autor:in) / Cesario, N. (Autor:in) / Merola, S. S. (Autor:in)

    Kongress:

    9th International Conference on Engines and Vehicles ; 2009



    Erscheinungsdatum :

    2009-09-13




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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