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dc.contributor.author
Vettori, Silvia
dc.contributor.author
Di Lorenzo, Emilio
dc.contributor.author
Peeters, Bart
dc.contributor.author
Chatzi, Eleni
dc.contributor.editor
Cunha, Álvaro
dc.contributor.editor
Caetano, Elsa
dc.date.accessioned
2021-12-16T07:19:27Z
dc.date.available
2021-12-14T15:14:36Z
dc.date.available
2021-12-16T07:19:27Z
dc.date.issued
2021
dc.identifier.uri
http://hdl.handle.net/20.500.11850/520636
dc.description.abstract
Wind turbine (WT) blade manufacturers are asked to test each wind turbine blade individually prior to its installation. Several tests are typically carried out on each individual blade, including static tests, fatigue tests and dynamic tests with different types of excitations and boundary conditions. During these extensive test campaigns, several types of sensors are used to instrument the blade, e.g. accelerometers, strain gauges, inclinometers etc. Indeed, each test requires the use of different sensor types, depending on the system characteristics to be identified. The high cost of these sensors and the time-consuming instrumentation procedure often implies drawbacks in terms of time efficiency and cost, or instead prompts the deployment of a limited number of sensors. In this context, Virtual Sensing (VS) techniques can be adopted for enriching the monitored information via creation of so-called “virtual sensors", i.e., response quantities (e.g. strains) inferred at locations where a physical sensor could not be positioned. This work analyzes the influence of the adopted physical sensing configurations on the virtual predictions delivered via use of Kalman-type filters for joint input-state estimation. The outlined study is carried out using data acquired during an extensive test campaign performed by DTU Wind Energy on a research wind turbine blade.
en_US
dc.language.iso
en
en_US
dc.publisher
International Society for Structural Health Monitoring of Intelligent Infrastructure (ISHMII)
en_US
dc.subject
Wind turbine blades
en_US
dc.subject
Operational modal analysis
en_US
dc.subject
Virtual sensing
en_US
dc.subject
Response estimation
en_US
dc.subject
Sensors placement
en_US
dc.title
On the influence of physical sensor placement on the virtualization of wind turbine blades testing
en_US
dc.type
Conference Paper
ethz.book.title
Proceedings of the International Conference on Structural Health Monitoring of Intelligent Infrastructure
en_US
ethz.pages.start
703
en_US
ethz.pages.end
706
en_US
ethz.event
10th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-10)
en_US
ethz.event.location
Porto, Portugal
en_US
ethz.event.date
June 30 - July 2, 2021
en_US
ethz.notes
Conference lecture held on July 1, 2021.
en_US
ethz.grant
Dynamic virtualisation: modelling performance of engineering structures
en_US
ethz.publication.place
Winnipeg
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02605 - Institut für Baustatik u. Konstruktion / Institute of Structural Engineering::03890 - Chatzi, Eleni / Chatzi, Eleni
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02605 - Institut für Baustatik u. Konstruktion / Institute of Structural Engineering::03890 - Chatzi, Eleni / Chatzi, Eleni
en_US
ethz.grant.agreementno
764547
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
H2020
ethz.date.deposited
2021-12-14T15:14:42Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-12-16T07:19:38Z
ethz.rosetta.lastUpdated
2022-03-29T16:36:55Z
ethz.rosetta.versionExported
true
ethz.COinS
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