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.
|Number of pages||5|
|Journal||Insight: Non-Destructive Testing and Condition Monitoring|
|Publication status||Published - 1 Aug 2011|
|Event||8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies - Cardiff, United Kingdom|
Duration: 20 Jun 2011 → 22 Jun 2011
Conference number: 8