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Bearing fault diagnosis using time encoded signal processing and recognition

Abdusslam, S.A., Gu, Fengshou and Ball, Andrew (2010) Bearing fault diagnosis using time encoded signal processing and recognition. In: CM 2010 and MFPT 2010 : The Seventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, 22-24 June 2010, Stratford-upon-Avon, UK. (Unpublished)

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    Abstract

    Many novel condition monitoring techniques have been invented in recent years, and the challenge lies in coming up with a highly reliable and cost efficient monitoring system which should be capable of tracking down and give an early indication of machinery’s faults. The focus of this paper is to develop advanced approaches based on advanced intelligent computations to diagnosis and prognosis bearing condition. TESPAR (Time Encoded Signal Processing and Recognition) is an effective and direct way for describing complex waveforms in digital terms. It is the generic terms set to a collection of novel signal analysis, recognition and classification approaches that can be applied to describe and classify various ranges of complicated band limited signals. The results show that vibration signal waveforms of bearing faults can be digitized and analyzed in terms of its epochs’ duration and shape which are the main parameters of the TESPAR technique that provides an accurate separation between different bearing faults with different degree of severity.

    Item Type: Conference or Workshop Item (Paper)
    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: Cherry Edmunds
    Date Deposited: 21 Jul 2010 11:07
    Last Modified: 15 Sep 2011 13:41
    URI: http://eprints.hud.ac.uk/id/eprint/8177

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