Skip to main content
padlock icon - secure page this page is secure

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

Buy Article:

$22.00 + tax (Refund Policy)

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.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Affiliations: 1 Cranfield University.

Publication date: August 1, 2011

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more