A New Method for Monitoring Gears Surface Failures Using Enhanced Image Registration Approach
- Submitting institution
-
University of Central Lancashire
- Unit of assessment
- 12 - Engineering
- Output identifier
- 18511
- Type
- D - Journal article
- DOI
-
10.4271/2014-01-9003
- Title of journal
- SAE International Journal of Aerospace
- Article number
- -
- First page
- 182
- Volume
- 7
- Issue
- 1
- ISSN
- 1946-3901
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
K - Jost Institute for Tribotechnology
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper results from an integrated international collaboration involving the Military Technical College (Cairo, Egypt), the Gear technology Centre (University of Newcastle, UK) and Carleton University Ontario, Canada). It introduced a new prediction technique for gear failure. Previous research used Artificial Intelligence incorporating vibration, acoustic data, etc. This paper adds an image registration method to provide a more reliable prediction of gear failure progression. The study was part of a body of publications leading to Onsy becoming a known expert and enabling membership of the SAE G-11SHM, Structural Health Monitoring and Management Committee and Co-chair of the international conference COMADEM.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
