In-operation identification of wind turbine non-stationary dynamics: A comparison of various methods

5th International Operational Modal Analysis Conference, IOMAC 2013

Volumn , Issue , 2013, Pages 1-8

  Avendaño Valencia, Luis David ^a   Fassois, Spilios D ^a  

^a UNIVERSITY OF PATRAS   (Greece)

Author keywords

In operation identification; Non stationary dynamics; Output only identification; Time dependent ARMA modeling; Wind turbine structural dynamics

Indexed keywords

MODAL ANALYSIS; STOCHASTIC SYSTEMS; STRUCTURAL DYNAMICS; WIND TURBINES;

AUTOREGRESSIVE MOVING AVERAGE; IDENTIFICATION METHOD; LATERAL DIRECTIONS; NON-STATIONARY DYNAMICS; STOCHASTIC CONSTRAINTS; TIME-DEPENDENT ARMA MODELS; VIBRATION ACCELERATION; WIND TURBINE TOWERS;

STOCHASTIC MODELS;

EID: 84883658156     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Barlas T., van Kuik G. (2010) Review of the state of the art in smart rotor control research for wind turbines. Progress in Aerospace Sciences 46: 1-27.
2. Hameed Z., Hong Y., Cho Y., Ahn S., Song C. (2009) Condition monitoring and fault detection of wind turbines and related algorithms: a review. Renewable and Sustainable Energy Reviews 13(1): 1-39.
3. Ciang C., Lee J. (2008) Structural health monitoring for a wind turbine system: a review of damage detection methods. Measurement Science and Technology 19: 122001.
4. Hansen M., Sorensen J., Voutsinas S., Sorensen N., Madsen H. (2006) State of the art in wind turbine aerodynamics and aeroelasticity. Progress in Aerospace Sciences 42: 285-330.
5. Li Y., Paik K.-J., Xing T., Carriaca P., Dynamic overset CFD simulations of wind turbine aerodynamics. Renewable Energy 37: 285-298.
6. Yang S., Allen M. (2011), Output-only modal analysis using continuous-scan laser doppler vibrometry and application to a 20 kW wind turbine. In: Proceedings of the 24th International Modal Analysis Conference (IMAC), Vol. 3, Modal Analysis Topics, pp. 47-64.
7. Tcherniak D., Chauhan S., Rossetti M., Font I., Basurko J., Salgado O. (2010) Output-only modal analysis on operating wind turbines: application to simulated data. In: European Wind Energy Conference 2010, pp. 1-10.
8. Dolinski L., Krawczuk M. (2009) Damage detection in wind turbine blades by vibration based methods. Journal of Physics: Conference Series 181(1): 012086.
9. Murtagh P., Basu B. (2007) Identification of equivalent modal damping for a wind turbine at standstill using Fourier and wavelet analysis. In: Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 221(4): 577-589.
10. Tang B., Liu W., Song T. (2010) Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution. Renewable Energy 35: 2862-2866.
11. Jiang Y., Tang B., Qin Y., Liu W. (2011) Feature extraction method of wind turbine based on adaptive Morlet wavelet and SVD. Renewable Energy 36: 2146-2153.
12. Antoni J. (2009) Cyclostationarity by examples. Mechanical Systems and Signal Processing 23: 987-1036.
13. Skjoldan P., Hansen M. (2009) On the similarity of the Coleman and Lyapunov-Floquet transformations for modal analysis of bladed rotor structures. Journal of Sound and Vibration 327(3-5): 424-439.
14. Allen M., Sracic M., Chauhan S., Hansen M. (2011) Output-only modal analysis of linear time periodic systems with application to wind turbine simulation data. Mechanical Systems and Signal Processing 25(4): 1174-1191.
15. Avendaño-Valencia L.D., Fassois S.D. (2012) In-operation output-only identification of wind turbine structural dynamics: comparison of stationary and non-stationary approaches. In: Proceedings of the ISMA 2012, Leuven, Belgium.
16. Avendaño-Valencia L.D., Fassois S.D. (2011) In-operation identification of a wind turbine structure via non-stationary parametric models. In: Proceedings of the International Workshop on Structural Health Monitoring, Stanford, USA.
17. Avendaño-Valencia L.D., Fassois S.D. (2013) Generalized stochastic constraint time-dependent ARMA models for non-stationary time series modeling. Submitted to: Asian Control Conference 2013, Istanbul, Turkey.
18. Avendaño-Valencia L.D., Fassois S.D. (2013) Generalized stochastic constraint TARMA models for in-operation output-only identification of wind turbine dynamics, Submitted to: 10th International Conference on Damage Assessment of Structures, July 8-10, Trinity College Dublin, Ireland.
19. Poulimenos A., Fassois S.D. (2006) Parametric time-domain methods for non-stationary random vibration modeling and analysis: a critical survey and comparison. Mechanical Systems and Signal Processing 20(4): 763-816.
20. Knott G.D. (2000) Interpolating Cubic Splines. Springer.