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Early Failure Detection and Diagnostics of High Speed Self Aligning Journal Bearing

Raharjo, Parno, Al Thobiani, Faisal, Gu, Fengshou and Ball, Andrew (2010) Early Failure Detection and Diagnostics of High Speed Self Aligning Journal Bearing. In: COMADEM 2010, June 28-July 2 2010, Nara, Japan. (Unpublished)

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    Abstract

    Because of their high load carrying capacity and low cost, journal bearings are widely used to support
    the rotor of industrial machinery with high loads, such as steam turbines, centrifugal compressors and
    pumps. However, sudden catastrophic failure journal bearings can result in huge economic loss and
    high safety problems. It is necessary to develop effective condition monitoring technologies to detect
    and diagnose the failures at early stage and avoid such catastrophic failure. Previous researchers have
    studied the low frequency vibration characteristics as well as the high frequency vibration and
    acoustics emission for the early detection of journal bearing failure. However, these studies give
    relatively little information to the vibro-acoustic characteristics of high speed self aligning journal
    bearings. This paper focuses on the condition monitoring of high speed self aligning journal bearings
    through vibro-acoustic analysis.

    Item Type: Conference or Workshop Item (Paper)
    Uncontrolled Keywords: Self aligning journal bearing, vibro-acoustic analysis, early failure, 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 > High-Performance Intelligent Computing
    School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
    Related URLs:
    Depositing User: Sara Taylor
    Date Deposited: 20 Jul 2010 11:48
    Last Modified: 11 Mar 2013 11:41
    URI: http://eprints.hud.ac.uk/id/eprint/8164

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