Diagnostics of a Defective Bearing Within a Planetary Gearbox with Vibration and Acoustic Emission

Faris Elasha, Matthew Greaves, David Mba

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)


Whilst vibration analysis of planetary gearbox faults is relatively well established, the application of Acoustic Emissions (AE) to this field is still in its infancy. For planetary-type gearboxes it is more challenging to diagnose bearing faults due to the dynamically changing transmission paths which contribute to masking the vibration signature of interest. The present study is aimed at developing a series of signal processing procedures to reduce the effect of background noise whilst extracting the fault feature from AE and vibration signatures. Three signal processing techniques including an adaptive filter, spectral kurtosis and envelope analysis, were applied to AE and vibration data acquired from a simplified planetary gearbox test rig with a seeded bearing defect. The results show that AE identified the defect earlier than vibration analysis irrespective of the tortuous transmission path.
Original languageEnglish
Title of host publicationAdvances in Condition Monitoring of Machinery in Non-Stationary Operations
Number of pages14
ISBN (Electronic)978-3-319-20463-5
ISBN (Print)978-3-319-20462-8
Publication statusE-pub ahead of print - 17 Jul 2015
Externally publishedYes

Publication series

NameApplied Condition Monitoring
PublisherSpringer, Cham


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