An experimental study of acoustic emission methodology for in service condition monitoring of wind turbine blades
- Submitting institution
-
Brunel University London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 131-124100-8468
- Type
- D - Journal article
- DOI
-
10.1016/j.renene.2016.06.048
- Title of journal
- Renewable Energy
- Article number
- -
- First page
- 170
- Volume
- 99
- Issue
- -
- ISSN
- 0960-1481
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2016
- URL
-
https://bura.brunel.ac.uk/handle/2438/13153
- Supplementary information
-
https://ars.els-cdn.com/content/image/1-s2.0-S0960148116305729-mmc1.mp4
- 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
-
3
- Research group(s)
-
2 - Applied Mechanics & Structures
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The experimental study of the fatigue damage growth on a turbine blade of 45.7 m used on a 2MW generator is reported. The main purpose of this study was the investigation of feasibility of in-service Acoustic Emission monitoring. The sensor set-up allowed the analysis of arrival times and triangulation of event source coupled with noise filtering and elimination of signals uncoupled with the crack development. The developed methodology shows very good results for in service blade monitoring, being to the knowledge of the authors, the first project on such a complex structure using AE methods.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -