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Acoustic Emission Monitoring of Mechanical Seals Using MUSIC Algorithm based on Higher Order Statistics

Fan, Yibo, Gu, Fengshou and Ball, Andrew (2009) Acoustic Emission Monitoring of Mechanical Seals Using MUSIC Algorithm based on Higher Order Statistics. Key Engineering Materials, 413-41. pp. 811-816. ISSN 1013-9826

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    Abstract

    This paper presents the use of the MUSIC algorithm improved by higher order statistics
    (HOS) to extract key features from the noisy acoustic emission (AE) signals. The low signal-tonoise
    ratio of AE signals has been identified as a main barrier to the successful condition
    monitoring of pump mechanical seals. Since HOS methods can effectively eliminate Gaussian
    noise, it is possible in theory to identify a change in seal conditions from AE measurements even
    with low signal-to-noise ratios. Tests conducted on a test rig show that the developed algorithm can
    successfully detect the AE signal generated from the friction of seal faces under noisy conditions.

    Item Type: Article
    Additional Information: (C) Trans Tech Publications
    Uncontrolled Keywords: Acoustic emission, Mechanical seals, Higher Order Statistics, MUSIC Algorithm
    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 > 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: Graham Stone
    Date Deposited: 27 May 2009 16:58
    Last Modified: 08 Dec 2010 13:10
    URI: http://eprints.hud.ac.uk/id/eprint/4537

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