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Time-frequency enhancement technique for bevel gear fault diagnosis

Hartono, Dennis; Halim, Dunant; Widodo, Achmad; Roberts, Gethin Wyn

Authors

Dennis Hartono

Dunant Halim

Achmad Widodo

Gethin Wyn Roberts



Abstract

Gear failure is one of the most common causes of breakdown in rotating machineries. It is well known that vibration signals from machineries can be effectively used to detect certain gear faults. Yet it is still not an easy task to find a symptom that reflects a particular fault from vibration signals. This paper presents an advanced time-frequency signal processing technique for extracting important gear fault information from the vibration signal that is heavily corrupted by measurement noise. Experiments were performed on a bevel gearbox test rig using vibration measurements. The Time Synchronous Average (TSA) was initially utilized to eliminate all asynchronous component of vibration signal obtained from the gear. The Continuous Wavelet Transform (CWT) method was then used to capture the non-stationary behaviour of the impulse signal generated from the broken bevel gear tooth. It was shown that the diagnosis method using the Continuous Wavelet Transform combined with Time Synchronous Averaging outperformed the conventional spectral analysis, capable of identifying the angular location of broken teeth in the gear.

Citation

Hartono, D., Halim, D., Widodo, A., & Roberts, G. W. (in press). Time-frequency enhancement technique for bevel gear fault diagnosis. MATEC Web of Conferences, 70, https://doi.org/10.1051/matecconf/20167002003

Journal Article Type Article
Acceptance Date Jan 1, 2016
Online Publication Date Aug 11, 2016
Deposit Date Oct 20, 2017
Publicly Available Date Oct 20, 2017
Journal MATEC Web of Conferences
Electronic ISSN 2261-236X
Publisher EDP Open
Peer Reviewed Peer Reviewed
Volume 70
Article Number 02003
DOI https://doi.org/10.1051/matecconf/20167002003
Public URL http://eprints.nottingham.ac.uk/id/eprint/47359
Publisher URL https://www.matec-conferences.org/articles/matecconf/abs/2016/33/matecconf_icmit2016_02003/matecconf_icmit2016_02003.html
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

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Time-Frequency Enhancement Technique for Bevel Gear Fault Diagnosis.pdf (1.3 Mb)
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0



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