Reference : Modal identification of time-varying systems using simulated responses on wind turbines
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/134667
Modal identification of time-varying systems using simulated responses on wind turbines
English
Bertha, Mathieu mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures >]
Mayorga Rios, Jorge Patricio [Université de Liège - ULg > > > 2e an. master ingé. civ. aérospat., fin. appr.]
Golinval, Jean-Claude mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures >]
Sep-2012
Proceedings of ISMA2012-USD2012
Sas, P
Moens, D
Jonckheere, S
KU Leuven
4285-4296
No
No
International
9789073802896
Leuven
International Conference on Noise and Vibration Engineering
du 17 septembre au 19 septembre 2012
KU Leuven, Department of Mechanical Engineering
Leuven
Belgium
[en] Modal Identification ; Wind turbines ; Time-Varying systems
[en] Wind turbines are good examples of time-varying systems as their modal properties depend on their instantaneous configuration. To catch the variations of modal parameters in time-varying systems, classical identification methods have to be adapted to the non-stationary nature of the recorded signals. In this paper, it is proposed to study the dynamic behavior of an offshore five-megawatt wind turbine. First, a numerical model of the wind turbine is created to serve as reference. Then, the time-varying behavior of the system is evaluated by simulating a large number of possible configurations. To this purpose, time responses are generated from the numerical model submitted to different environmental conditions. The wind is considered as the main non-measured external excitation force on the structure and the responses are recorded at several locations to simulate a real measurement process. Special care is brought to the accessibility of the measurement locations and to the limited number of available sensors in practice. Using these simulated measurements, output-only identification methods are used to extract varying dynamic properties of the structure. The final objective of this work is to pave the way to online condition monitoring of wind turbines.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/134667

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