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Condition Monitoring of CI engine running on Biodiesel using Transient Process

Tesfa, Belachew, Mishra, Rakesh, Gu, Fengshou and Ball, Andrew (2009) Condition Monitoring of CI engine running on Biodiesel using Transient Process. Key Engineering Materials, 413-14. pp. 495-503. ISSN 1013-9826

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    Abstract

    Various research groups across the globe have developed models for engine condition monitoring and fault diagnosis based on the data from steady state performance measurements over the last two decade. However, these performance data are not amenable for easy collection in some situations and some of the data may show little performance deviation at the steady state conditions of operation. The aim of this study is to identify engine operating conditions and parameters that can be used to develop a diagnostic tool for internal combustion (CI) engine running on biodiesel blends fuel. Ricardo Wave Software was used to stimulate healthy and degraded engine. The degraded condition of operation was created by forcing one injector to work with 90%, 80% and 70% of the normal fuel flow efficiency. The measurable performance parameters such as brake power, brake torque and exhaust temperature and CO emission have been used to compare the deviations during steady and transient condition. From the comparison of the data obtained from transient and steady state simulation of the engine with and without injector fault, it can be concluded that the transient parameters show higher deviations and hence are better suited for condition monitoring and diagnostic modelling in engine working speed.

    Item Type: Article
    Additional Information: (c) Trans Tech Publications
    Uncontrolled Keywords: Injector Fault; Transient Performance; Condition Monitoring; Accumulated Deviation
    Subjects: T Technology > TJ Mechanical engineering and machinery
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Automotive Engineering Research Group
    School of Computing and Engineering > Pedagogical 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
    Related URLs:
    Depositing User: Belachew Tesfa
    Date Deposited: 27 May 2009 16:33
    Last Modified: 14 Jun 2011 09:33
    URI: http://eprints.hud.ac.uk/id/eprint/4381

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