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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    Title :

    Use of Engine Crankshaft Speed for Determination of Cylinder Pressure Parameters


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    9th International Conference on Engines and Vehicles ; 2009



    Publication date :

    2009-09-13




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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