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Gearbox Fault Diagnosis based on Vibration Signals Measured Remotely

Al-Arbi, Salem, Gu, Fengshou, Guan, Luyang, Ball, Andrew and Naid, A. (2009) Gearbox Fault Diagnosis based on Vibration Signals Measured Remotely. Key Engineering Materials, 413-41. pp. 175-180. ISSN 1013-9826

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Abstract

In many cases, it is impractical to measure the vibrations directly at or close to their source.
It is a common practice to measure the vibration at a location far from the source for condition
monitoring purposes. The vibration measured in this way inevitably has high distortions from the
vibrations due to the effect of the attenuation of signal paths and the interference from other sources.
The suppression of the distortions is a key issue for the remote measurements based condition
monitoring. In this paper, the influences of transducer locations are investigated on a typical gearbox
transmission system for the detection of the faults induced to the gearbox. Several signal processing
techniques’ analysis results show that the attenuation and interference cause high influences on the
gear transmission signals. However, time synchronous average (TSA) is very effective to detect the
local faults induced to the gear system.

Item Type: Article
Additional Information: (c) Trans Tech Publications
Uncontrolled Keywords: Gearbox, attenuation, interference, spectrum analysis, time synchronous averaging
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 > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
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Depositing User: Graham Stone
Date Deposited: 27 May 2009 15:43
Last Modified: 26 Aug 2015 03:05
URI: http://eprints.hud.ac.uk/id/eprint/4534

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