Modal parametric identification method of offshore wind power structure to resist effects of low-frequency high-energy noise

DONG Xiaofeng1, 2, SHI Zekun1, 2, PENG Honghao1, 2

Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (9) : 214-222.

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PDF(2879 KB)
Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (9) : 214-222.
ACOUSTIC RESEARCH AND APPLICATION

Modal parametric identification method of offshore wind power structure to resist effects of low-frequency high-energy noise

  • DONG Xiaofeng*1,2, SHI Zekun1,2, PENG Honghao1,2
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Abstract

Modal parameters are the key indexes to reflect the safe operation of offshore wind turbine (OWT) structures. However, the complex and changeable ocean environment will lead to a large amount of low-frequency and high-energy noise mixed in the measured vibration signals, which seriously affects the accuracy of modal identification. To achieve the accurate identification of modal parameters of OWT structures, one modal parameter identification method (CVS) that can resist the influence of low-frequency high-energy noise was proposed in this research. Firstly, the method filters out the high-frequency noise in the original signal using the Complementary Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN). Then the Sparrow's Optimization Algorithm (SSA) is utilized to iteratively calculate the number of signal decomposition layers K and the penalty factor α of the adaptive deterministic variational modal decomposition (VMD) by the minimum envelope entropy as the fitness function, achieving VMD adaptive optimization decomposition of the signal to eliminate the influence of low-frequency high-energy noise. Finally, the stochastic subspace identification (SSI) method is used to identify and extract modal parameters from the signal. The study was carried out to verify the identification effect of the constructive simulation noise-containing signals and the prototype observation signals, respectively. The results show that the CVS method has better effectiveness and accuracy in parameters such as signal-to-noise ratio, waveform similarity coefficient, and relative error compared with the traditional modal identification method. Meanwhile, the method has strong processing capability and good noise reduction effect on the measured signals, and can accurately identify the structural natural frequency, impeller rotation frequency (1P) and blade sweep frequency (3P). It has good engineering applicability and can provide a new idea for identifying the modal parameters of OWT structures based on measured data in the future. 

Key words

Offshore wind power / Modal parameter identification / Low-frequency high-energy noise / Complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) / Variational modal decomposition (VMD)

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DONG Xiaofeng1, 2, SHI Zekun1, 2, PENG Honghao1, 2. Modal parametric identification method of offshore wind power structure to resist effects of low-frequency high-energy noise[J]. Journal of Vibration and Shock, 2025, 44(9): 214-222

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