Virtual Sensing For Wind Turbine Blade Full Field Response Estimation In Operational Modal Analysis
METADATA ONLY
Loading...
Author / Producer
Date
2022
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
METADATA ONLY
Data
Rights / License
Abstract
The inaccessibility of wind turbine components after their installation and the stochastic nature of the excitation they are subjected to, render their dynamic behavior challenging for investigation. Wind turbine blade manufacturers are required to carry out extensive test campaigns on each single blade individually prior to proceeding with commercialization. Static and fatigue tests are usually performed on prototypes in order to ensure that each blade can stand extreme loads, even after being subjected to high cyclic loading. The same instrumentation used for static and fatigue tests can be adopted for performing Operational Modal Analysis with the purpose of identifying the blade modal parameters, which can help analyzing failure modes and system stability problems. Measurements performed during tests are usually acquired at accessible locations and with a limited number of sensors due to their high cost. This work focuses on providing alternatives to costly and impractical physical measurements on wind turbine blades by combining information from cost-effective simulated models and more realistic test data through the so-called Virtual Sensing techniques, e.g., Kalman-type filters and Modal Expansion methods. © The Society for Experimental Mechanics, Inc. 2022
Permanent link
Publication status
published
External links
Editor
Book title
Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021
Volume
3
Pages / Article No.
49 - 52
Publisher
Springer
Event
39th Conference and Exposition on Structural Dynamics (IMAC 2021)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Wind turbine blades; Operational modal analysis; Virtual sensing; Dynamic tests; Response estimation
Organisational unit
03890 - Chatzi, Eleni / Chatzi, Eleni
Notes
Funding
764547 - Dynamic virtualisation: modelling performance of engineering structures (EC)