| dc.contributor |
University of Aberdeen.Engineering |
|
| dc.contributor |
University of Aberdeen.Engineering |
|
| dc.contributor |
University of Aberdeen.Energy |
|
| dc.contributor |
University of Aberdeen.Engineering (Research Theme) |
|
| dc.creator |
Turnbull, Heather |
|
| dc.creator |
Omenzetter, Piotr |
|
| dc.date |
2019-09-27T15:00:35Z |
|
| dc.date |
2019-09-27T15:00:35Z |
|
| dc.date |
2018-07 |
|
| dc.date.accessioned |
2022-05-24T06:09:49Z |
|
| dc.date.available |
2022-05-24T06:09:49Z |
|
| dc.identifier |
Turnbull , H & Omenzetter , P 2018 , ' Damage severity assessment of a laboratory wind turbine blade using virus optimisation algorithm ' , Paper presented at 9th European Workshop on Structural Health Monitoring, EWSHM 2018 , Manchester , United Kingdom , 10/07/18 - 13/07/18 . < https://www.ndt.net/search/docs.php3?showForm=off&id=23278 > |
|
| dc.identifier |
conference |
|
| dc.identifier |
PURE: 147824249 |
|
| dc.identifier |
PURE UUID: df5850b7-6b64-430d-b5f5-afe476f3aa6e |
|
| dc.identifier |
Scopus: 85070870372 |
|
| dc.identifier |
http://hdl.handle.net/2164/13013 |
|
| dc.identifier |
http://www.scopus.com/inward/record.url?scp=85070870372&partnerID=8YFLogxK |
|
| dc.identifier |
https://www.ndt.net/search/docs.php3?showForm=off&id=23278 |
|
| dc.identifier |
http://www.scopus.com/inward/record.url?scp=85070870372&partnerID=8YFLogxK |
|
| dc.identifier |
https://www.ndt.net/search/docs.php3?showForm=off&id=23278 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/117864 |
|
| dc.description |
Peer reviewed |
|
| dc.description |
Publisher PDF |
|
| dc.format |
application/pdf |
|
| dc.language |
eng |
|
| dc.rights |
Creative Commons CC-BY-NC licence https://creativecommons.org/licenses/by-nc/4.0/ |
|
| dc.subject |
probability of detection |
|
| dc.subject |
detection systems |
|
| dc.subject |
vibration analysis and testing |
|
| dc.subject |
TA Engineering (General). Civil engineering (General) |
|
| dc.subject |
Civil and Structural Engineering |
|
| dc.subject |
Architecture |
|
| dc.subject |
TA |
|
| dc.title |
Damage severity assessment of a laboratory wind turbine blade using virus optimisation algorithm |
|
| dc.type |
Conference paper |
|