Improved damage detectability in a wind turbine blade by optimal selection of vibration signal correlation coefficients
- Submitting institution
-
University of Aberdeen
- Unit of assessment
- 12 - Engineering
- Output identifier
- 69050138
- Type
- D - Journal article
- DOI
-
10.1177/1475921716657016
- Title of journal
- Structural Health Monitoring
- Article number
- -
- First page
- 685
- Volume
- 15
- Issue
- 6
- ISSN
- 1475-9217
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2016
- 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
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- An outcome of a project funded by The Lloyd’s Register Foundation (‘The LRF Centre for Safety and Reliability Engineering’) that conceptualizes, develops and validates experimentally a methodology for improving damage detection algorithms. The paper is included in the comprehensive review of intelligent computational tools for damage detection in composites (Gomes et al 2018) published in Composite Structures.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -