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Modern techniques for condition monitoring of railway vehicle dynamics

Ngigi, R. W., Pislaru, Crinela, Ball, Andrew and Gu, Fengshou (2012) Modern techniques for condition monitoring of railway vehicle dynamics. Journal of Physics: Conference Series, 364. 012016. ISSN 1742-6596

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    Abstract

    A modern railway system relies on sophisticated monitoring systems for maintenance and renewal activities. Some of the existing conditions monitoring techniques perform fault detection using advanced filtering, system identification and signal analysis methods. These theoretical approaches do not require complex mathematical models of the system and can overcome potential difficulties associated with nonlinearities and parameter variations in the system. Practical applications of condition monitoring tools use sensors which are mounted either on the track or rolling stock. For instance, monitoring wheelset dynamics could be done through the use of track-mounted sensors, while vehicle-based sensors are preferred for monitoring the train infrastructure. This paper attempts to collate and critically appraise the modern techniques used for condition monitoring of railway vehicle dynamics by analysing the advantages and shortcomings of these methods.

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    Item Type: Article
    Uncontrolled Keywords: rail vehicle dynamics; condition monitoring; vehicle-based sensors; real time; track-based sensors
    Subjects: T Technology > T Technology (General)
    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 > Centre for Precision Technologies
    School of Computing and Engineering > Centre for Precision Technologies > Engineering Control and Machine Performance 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
    School of Computing and Engineering > Pedagogical Research Group
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    References:

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    Depositing User: Crinela Pislaru
    Date Deposited: 10 Jul 2012 10:54
    Last Modified: 23 Dec 2013 13:37
    URI: http://eprints.hud.ac.uk/id/eprint/13921

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