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    An autonomous, low cost, distributed method for observing vehicle track interactions

    136225_136225.pdf (6.850Mb)
    Access Status
    Open access
    Authors
    Wolfs, Peter
    Bleakly, S.
    Senini, S.
    Thomas, P.
    Date
    2006
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Wolfs, Peter and Bleakly, S. and Senini, S. and Thomas, P. 2006. An autonomous, low cost, distributed method for observing vehicle track interactions, in Unknown (ed), Rail Conference, 2006. Proceedings of the 2006 IEEE/ASME Joint, Apr 4 2006, pp. 279-286. Atlanta, USA: IEEE.
    Source Title
    Rail Conference, 2006. Proceedings of the 2006 IEEE/ASME Joint
    Source Conference
    Rail Conference, 2006. Proceedings of the 2006 IEEE/ASME Joint
    ISBN
    0-7918-4203-7
    Faculty
    Faculty of Science and Engineering
    Department of Electrical and Computer Engineering
    School of Engineering
    Remarks

    Copyright © 2006 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/6325
    Collection
    • Curtin Research Publications
    Abstract

    Experience and field studies have shown that track geometry alone is not a good predictor of rail vehicle response. This paper describes a family of "Health Card" devices - an autonomous device that can be distributed on rolling stock to analyse the vehicle responses. As a distributed system is desired, and the intent is to apply this technology widely across a vehicle fleet, a low initial capital cost and low operating cost solution is desirable. As a consequence the Health Card performs all its sensing operations on the car body and avoids the costs and complications of sensing below the car body especially on unsprung components. Health Cards use solid-state transducers including accelerometers and angular rate sensors with a coordinate transform to resolve car body motions into six degrees of freedom. They then apply spectrogram techniques to obtain a time-frequency representation of the car body motion. These representations are autonomously analyzed to detect and classify transient dynamic events and to infer track degradation or operational risks

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