Operational Modal Analysis of a Wind Turbine Mainframe using Crystal Clear SSI

  • Sven-Erik Rosenow
  • Palle Andersen
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)


Experimental investigations of the dynamic behavior of wind turbine components as well as of the turbine’s overall dynamics are important for the evaluation of applied prediction models. Operational Modal Analysis (OMA) was applied to identify resonant frequencies, corresponding mode shapes and damping values. Experimental investigations were carried out at the main frame of a Fuhrländer AG 2.5 MW wind turbine with a rotor diameter and a hub height of each ca.100m. Structural responses were recorded at a stopped turbine excited by the stochastic wind only. The complex structure of the mainframe as well as its interaction with the tower and the turbine blades makes it non-trivial to perform the modal analysis. In the paper the new Crystal Clear Stochastic Subspace Identification (CC-SSI) technique is applied. This technique produces very clear stabilization and easy automatic mode extraction even for complicated systems with a large number of modes as considered here. At a wind turbine, there is usually a restriction in easily applicable measurement locations. Since time series were recorded only at the main frame of the turbine, overall mode shapes of the entire turbine were identified applying a combined identification using Finite Element Analysis (FEA).


Resonant Frequency Wind Turbine Mode Shape Main Frame Modal Assurance Criterion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1] Overschee P. V., Moor B. D., Subspace Identification for Linear Systems, Theory, Implementation, Applications, Kluwer, 1996.Google Scholar
  2. [2] Goursat M., Mevel L., Algorithms for Covariance Subspace Identification: a Choice of Effective Implementations, Proc. IMAC XXVII, Florida, USA, 2009.Google Scholar
  3. [3] Goursat M., Döhler M., Mevel L., Andersen P., Crystal Clear SSI for Operational Modal Analysis of Aerospace Vehicles, Proc. IMAC XXVIII, Florida, USA, 2010.Google Scholar
  4. Brinker R., Zhang L., Andersen P., Modal Identification for Ambient Responses Using Frequency Domain Decomposition, IMAC XVIII, 2000.Google Scholar
  5. Brinker R., Ventura C., Andersen P., Damping Estimation by Frequency Domain Decomposition, IMAC XIX, 2001.Google Scholar
  6. Uhlenbrock S., Rosenow S.-E., Schlottmann G., Application of Operational Modal Analysis to Marine Structures, IOMAC Workshop, 2006.Google Scholar
  7. Tamura Y., Yoshida A., Zhang L., Ito T., Nakata S., Sato K., Examples of Modal Identification of Structures in Japan by FDD and MRD Techniques, 1st IOMAC, 2005Google Scholar

Copyright information

© The Society for Experimental Mechanics, Inc. 2011

Authors and Affiliations

  1. 1.W2E Wind to Energy GmbHRostockGermany
  2. 2.Structural Vibration Solutions A/SAalborg EastDenmark

Personalised recommendations