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Early Failure Detection and Diagnostics of Self-Aligning Journal Bearing through Vibro-acoustic Analysis

Raharjo, Parno, Gu, J., Fan, Yibo, Gu, Fengshou and Ball, Andrew (2010) Early Failure Detection and Diagnostics of Self-Aligning Journal Bearing through Vibro-acoustic Analysis. 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, England. (Unpublished)

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    Abstract

    Journal bearings are widely used to support the rotor of industrial machinery with high loads, such as steam turbines, centrifugal pump and compressors. The problem of journal bearings can cause catastrophic failures, results in huge economic loss and create high safety risks. It is necessary to develop effective condition monitoring technologies to detect and diagnose the failures at early stage. Many researchers have studied the low frequency vibration characteristics as well as the high frequency vibration and acoustics emission in the detection of journal bearing failure. However, these studies have shown relatively little information regarding to the vibro-acoustic characteristics of the self aligning journal bearings. This research focuses on understanding the full feature of vibroacoustics in association with the influence of radial, torsion load, radial load, shaft speed and lubricant viscosity properties in order to develop an more reliable way to monitoring journal bearings.

    Item Type: Conference or Workshop Item (Paper)
    Uncontrolled Keywords: Self aligning journal bearing, vibro-acoustic monitoring, early failure detection, fundamental frequency.
    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 > 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: Sara Taylor
    Date Deposited: 20 Jul 2010 11:38
    Last Modified: 08 Dec 2010 12:39
    URI: http://eprints.hud.ac.uk/id/eprint/8163

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