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Non-parametric models in the monitoring of engine performance and condition: Part 1: modelling of non-linear engine processes

Jacob, P J, Gu, Fengshou and Ball, Andrew (2005) Non-parametric models in the monitoring of engine performance and condition: Part 1: modelling of non-linear engine processes. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, 213 (1). pp. 73-81. ISSN 0954-4070

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    Abstract

    This paper proposes the use of radial basis function (RBF) networks in the modelling of non-linear engine processes. A pertinent application of such a model is the reconstruction of cylinder pressure based upon the instantaneous angular velocity of the engine crankshaft. Distinction is made between parametric and non-parametric models and applications to which each is suited. The structure of an RBF model is presented and the use of this model in combustion pressure reconstruction is discussed. The paper concludes with a treatment of the practicalities associated with the implementation of an RBF model to typify a non-linear engine process.

    Item Type: Article
    Subjects: T Technology > T Technology (General)
    T Technology > TL Motor vehicles. Aeronautics. Astronautics
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Automotive Engineering Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
    School of Computing and Engineering > Informatics Research Group
    School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
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    Depositing User: Sharon Beastall
    Date Deposited: 20 Jan 2010 09:48
    Last Modified: 08 Dec 2010 13:32
    URI: http://eprints.hud.ac.uk/id/eprint/6790

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