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Non-parametric models in the monitoring of engine performance and condition: Part 2: non-intrusive estimation of diesel engine cylinder pressure and its use in fault detection

Gu, Fengshou, Jacob, P J and Ball, Andrew (1999) Non-parametric models in the monitoring of engine performance and condition: Part 2: non-intrusive estimation of diesel engine cylinder pressure and its use in fault detection. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, 213 (2). pp. 135-143. ISSN 0954-4070

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    Abstract

    An application of the radial basis function model, described in Part 1, is demonstrated on a four-cylinder DI diesel engine with data from a wide range of speed and load settings. The prediction capabilities of the trained model are validated against measured data and an example is given of the application of this model to the detection of a slight fault in one of the cylinders.

    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 > High-Performance Intelligent Computing
    School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
    Related URLs:
    Depositing User: Sharon Beastall
    Date Deposited: 20 Jan 2010 09:51
    Last Modified: 17 Nov 2014 11:15
    URI: http://eprints.hud.ac.uk/id/eprint/6791

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