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Novel comparisons of vibration and acoustic technologies for local damage detection in gearboxes

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The residual and wavelet techniques are applied to acoustic and vibration data for the early detection of local tooth damage in a back-to-back experimental gearbox test-rig. An advanced decision-making technique based on the likelihood ratio is used for damage detection.

The results indicate that the acoustic and vibration technologies are very effective tools for the early detection of gear damage.

Novel comparisons between:

the acoustic and vibration damage detection technologies;

the residual and wavelet acoustic detection technologies; and

the residual and wavelet vibration detection technologies were performed, taking into account the following three criteria: the cross-correlation between the diagnostic features and pitting estimates, the mean pitting size of the first detection and the mean percentage of detections.
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Document Type: Research Article

Affiliations: 1 Cranfield University.

Publication date: August 1, 2011

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