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Discrepancy study of modal parameters of a scale jacket-type supporting structure of 3.0-MW offshore wind turbine in water and in air

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  • Liu, Fushun
  • Yang, Qi
  • Li, Huajun
  • Li, Wei
  • Wang, Bin

Abstract

The discrepancy of modal parameters of a scale offshore wind turbine is studied by using the proposed assessment method. One theoretical development is that weak genuine modes can be separated from strong noisy modes; and the other is the size of the reconstructed Hankel matrix will not be changed to ensure the comparability of modal parameters from different scenarios. A numerical signal is synthesized to demonstrate the proposed method. Numerical results indicate that the approach can isolate the two genuine modal parameters respectively, by applying estimated pass band with a 2 by 2 Hankel matrix of the Eigensystem Realization Algorithm, which means it can be used as a criterion to assess modal parameters from different scenarios. An experiment with model scale 15 from a 3.0-MW offshore wind turbine is tested. Experimental results indicate that natural frequencies are considerably reduced and damping ratios are increased, with the rate of frequency change varies from 15.33% to 17.97%. The modal parameters obtained in water with waves are close to those obtained in still water even if the structure is excited by a hammer or waves. The modal parameters estimated from the reconstructed responses of different accelerometers are in excellent agreement.

Suggested Citation

  • Liu, Fushun & Yang, Qi & Li, Huajun & Li, Wei & Wang, Bin, 2016. "Discrepancy study of modal parameters of a scale jacket-type supporting structure of 3.0-MW offshore wind turbine in water and in air," Renewable Energy, Elsevier, vol. 89(C), pages 60-70.
    • Handle: RePEc:eee:renene:v:89:y:2016:i:c:p:60-70
    DOI: 10.1016/j.renene.2015.11.078
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    References listed on IDEAS

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    1. Liu, Fushun & Li, Huajun & Li, Wei & Wang, Bin, 2014. "Experimental study of improved modal strain energy method for damage localisation in jacket-type offshore wind turbines," Renewable Energy, Elsevier, vol. 72(C), pages 174-181.
    2. Feng, Zhipeng & Qin, Sifeng & Liang, Ming, 2016. "Time–frequency analysis based on Vold-Kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions," Renewable Energy, Elsevier, vol. 85(C), pages 45-56.
    3. Helsen, J. & Devriendt, C. & Weijtjens, W. & Guillaume, P., 2016. "Experimental dynamic identification of modeshape driving wind turbine grid loss event on nacelle testrig," Renewable Energy, Elsevier, vol. 85(C), pages 259-272.
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