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Gear tooth stiffness reduction measurement using modal analysis and its use in wear fault severity assessment of spur gears

Ball, Andrew, Gu, Fengshou and Yesilyurt, I. (2003) Gear tooth stiffness reduction measurement using modal analysis and its use in wear fault severity assessment of spur gears. NDT & E International, 36 (5). pp. 357-372. ISSN 0963-8695

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Abstract

Due to excessive service load, inappropriate operating conditions or simply end of life fatigue, damage can occur in gears. When a fault,
either distributed or localised, is incurred by gears, the stiffness and consequently vibration characteristics of the damaged tooth will change.
A possible non-destructive technique for damage detection and severity assessment can be derived from vibration analysis. This paper
presents the use of vibration analysis in the detection, quantification, and advancement monitoring of damage incurred by spur gear teeth. The
stiffness of a single spur gear tooth is analysed theoretically, and due to the difficulties in measuring the gear tooth stiffness, an experimental
procedure based on the modal analysis is developed to assess the severity of the gear tooth damage. A pair of spur gears was tested under
accelerated wear conditions, and conventional time and frequency domain techniques are applied to the gear vibrations to indicate the
presence and progression of the wear. The developed modal stiffness assessment technique is then used to quantify the resulting wear damage
to the spur gear teeth.

Item Type: Article
Additional Information: UoA 25 (General Engineering) © 2003 Elsevier Science Ltd. All rights reserved.
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: Briony Heyhoe
Date Deposited: 21 Dec 2007
Last Modified: 06 Apr 2018 16:52
URI: http://eprints.hud.ac.uk/id/eprint/489

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