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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 (Unpublished)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 10:48
Last Modified: 11 Mar 2013 11:41
URI: http://eprints.hud.ac.uk/id/eprint/8164

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