Abstract
This paper will evaluate different automated operational modal analysis techniques for the continuous monitoring of offshore wind turbines. The experimental data has been obtained during a long-term monitoring campaign on an offshore wind turbine in the Belgian North Sea. State-of-the art operational modal analysis techniques and the use of appropriate vibration measurement equipment can provide accurate estimates of natural frequencies, damping ratios and mode shapes of offshore wind turbines. To allow a proper continuous monitoring the methods have been automated and their reliability improved. The advanced modal analysis tools, which will be used, include the poly-reference Least Squares Complex Frequency-domain estimator (pLSCF), commercially known as PolyMAX, the polyreference maximum likelihood estimator (pMLE), and the frequency-domain subspace identification (FSSI) technique. The robustness of these estimators with respect to a possible change in the implementation options that could be defined by the user (e.g. type of polynomial coefficients used, parameter constraint used…) will be investigated. In order to improve the automation of the techniques, an alternative representation for the stabilization charts as well as robust cluster algorithms will be presented.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bhattacharya S, Adhikari S (2011) Experimental validation of soil–structure interaction of offshore wind turbines. Soil Dyn Earthq Eng 31(5–6):805–816
Junginger M, Faaij A, Turkenburg WC (2004) Cost reduction prospects for offshore wind farms. Wind Eng 28(1):97–118
van der Zwaan B, Rivera-Tinoco R, Lensink S, van den Oosterkamp P (2012) Cost reductions for offshore wind power: exploring the balance between scaling, learning and R&D. Renew Energy 41:389–393
Germanischer L (2005) Overall damping for piled offshore support structures. Guideline for the certification of offshore wind turbines, Edition, Windenergie
Devriendt C, Magalhaes F, Weijtjens W, De Sitter G, Cunha A, Guillaume P (2013) Automatic identification of the modal parameters of an offshore wind turbine using state-of-the-art operational modal analysis techniques. In: Proceedings of the 5th international operational modal analysis conference (IOMAC), Guimaraes
Devriendt C, El-Kafafy M, De Sitter G, Cunha A, Guillaume P (2013) Long-term dynamic monitoring of an offshore wind turbine. In: IMAC-XXXI, California
Devriendt C, El-Kafafy M, De Sitter G, Jordaens PJ, Guillaume P (2012) Continuous dynamic monitoring of an offshore wind turbine on a monopile foundation. In: ISMA2012, Leuven
Cauberghe B (2004) Applied frequency-domain system identification in the field of experimental and operational modal analysis. Mechanical Engineering Department, Vrije Universiteit Brussel, Brussels
Cauberghe B, Guillaume P, Verboven P (2004) A frequency domain poly-reference maximum likelihood implementation for modal analysis. In: 22th international modal analysis conference, Dearborn (Detroit)
Guillaume P, Verboven P, Vanlanduit S, Van der Auweraer H, Peeters B (2003) A poly-reference implementation of the least-squares complex frequency domain-estimator. In: 21th international modal analysis conference (IMAC), Kissimmee
Peeters B, Van der Auweraer H, Guillaume P, Leuridan J (2004) The PolyMAX frequency-domain method: a new standard for modal parameter estimation? Shock Vib 11(3–4):395–409
Cauberghe B, Guillaume P, Pintelon R, Verboven P (2006) Frequency-domain subspace identification using FRF data from arbitrary signals. J Sound Vib 290(3–5):555–571
Chauhan S, Tcherniak D, Basurko J, Salgado O, Urresti I, Carcangiu C, Rossetti M (2011) Operational modal analysis of operating wind turbines: application to measured data. In: Proulx T (ed) Rotating machinery, structural health monitoring, shock and vibration, vol 5. Springer, New York, pp 65–81
Bendat J, Piersol A (1971) Random data: analysis and measurement procedures. Wiley, New York
Magalhaes F, Cunha A, Caetano E (2009) Online automatic identification of the modal parameters of a long span arch bridge. Mech Syst Signal Process 23(2):316–329
Heylen W, Lammens S, Sas P (1997) Modal analysis theory and testing. Katholieke Universiteit Leuven, Department Werktuigkunde, Heverlee
Verboven P, Cauberghe B, Vanlanduit S, Parloo E, Guillaume P (2004) A new generation of frequency-domain system identification methods for the practicing mechanical engineer. In: Proceedings of international modal analysis conference (IMAC-XXII), USA
Reynders E (2012) System identification methods for (operational) modal analysis: review and comparison. Arch Comput Methods Eng 19(1):51–124
Cauberghe B, Guillaume P, Verboven P, Parloo E, Vanlanduit S (2004) A poly-reference implementation of the maximum likelihood complex frequency-domain estimator and some industrial applications. In: Proceedings of the international modal analysis conference (IMAC-XXII), USA
Pintelon R, Guillaume P, Rolain Y, Schoukens J, Van Hamme H (1994) Parametric identification of transfer functions in the frequency domain—a survey. IEEE Trans Automat Control 39(11):2245–2260
Van der Auweraer H, Guillaume P, Verboven P, Valanduit S (2001) Application of a fast-stabilization frequency domain parameter estimation method. J Dyn Sys Meas Control 123:651–652
Guillaume P, Pintelon R, Schoukens J (1995) Robust parametric transfer-function estimation using complex logarithmic frequency-response data. IEEE Trans Automat Control 40(7):1180–1190
Peeters B, Van der Auweraer H, Vanhollebeke F, Guillaume P (2007) Operational modal analysis for estimating the dynamic properties of a stadium structure during a football game. Shock Vib 14(4):283–303
Cauberghe B, Guillaume P, Verboven P, Vanlandult S, Parloo E (2005) The influence of the parameter constraint on the stability of the poles and the discrimination capabilities of the stabilisation diagrams. Mech Syst Signal Process 19(5):989–1014
De Moor B, Gevers M, Goodwin GC (1994) L2-overbiased, L2-underbiased and L2-unbiased estimation of transfer functions. Automatica 30(5):893–898
Pintelon R, Schoukens J (2001) System identification: a frequency domain approach. IEEE Press, Piscataway
De Troyer T (2009) Frequency-domain modal analysis with aeroelastic applications. In: Mechanical Engineering Department, Vrije universiteit Brussel (VUB), Brussels
Acknowledgement
The authors gratefully thank the people of Belwind NV for their support before, during and after the installation of the measurement equipment.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 The Society for Experimental Mechanics, Inc.
About this paper
Cite this paper
El-Kafafy, M., Devriendt, C., Weijtjens, W., De Sitter, G., Guillaume, P. (2014). Evaluating Different Automated Operational Modal Analysis Techniques for the Continuous Monitoring of Offshore Wind Turbines. In: Catbas, F. (eds) Dynamics of Civil Structures, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-04546-7_35
Download citation
DOI: https://doi.org/10.1007/978-3-319-04546-7_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04545-0
Online ISBN: 978-3-319-04546-7
eBook Packages: EngineeringEngineering (R0)