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Blade mass imbalance fault diagnosis based on fluctuation characteristics of wind turbine rotational angular frequency

Author

Listed:
  • Zhang, Bolin
  • Wan, Shuting
  • Wang, Chengyu
  • Chen, Jiaju
  • Sheng, Xiaoling

Abstract

Blade mass imbalance (MI) is a common fault in wind turbines (WTs) and threatens the safe and stable operation of the equipment in serious cases. However, the current method of diagnosing blade MI fault based on signals of current, vibration, and torque is easily interfered by other frequency components, which reduces the accuracy of diagnosis. In addition, the wind shear (WS), tower shadow (TS), and changing wind produce time-varying frequencies, which is difficult to extract reliable fault characteristic from the spectrum. For the above problems, a diagnosis method for blade MI fault based on fluctuation characteristics of WT rotational angular frequency (RAF) is proposed. Firstly, the effects of random wind, equivalent wind (EW), and Maximum Power Point Tracking (MPPT) strategy on RAF are theoretically investigated to analyze the fluctuation characteristics of RAF in normal conditions and blade MI fault. Then the angular resampling and de-trending (ARDT) method is proposed to obtain the periodic fluctuation component and extract the blade MI fault characteristic from time-varying RAF. Finally, the proposed theory and method are validated by simulation and experiment. The results show that the blade MI fault leads to a faulty fluctuation component in the RAF, which is periodic in the angular domain with a frequency of 1/(2π)rad−1; the ARDT method can accurately extract the MI fault characteristic from RAF, and the diagnostic effect is better than the existing current-based fault diagnosis methods.

Suggested Citation

  • Zhang, Bolin & Wan, Shuting & Wang, Chengyu & Chen, Jiaju & Sheng, Xiaoling, 2025. "Blade mass imbalance fault diagnosis based on fluctuation characteristics of wind turbine rotational angular frequency," Renewable Energy, Elsevier, vol. 255(C).
    • Handle: RePEc:eee:renene:v:255:y:2025:i:c:s0960148125014880
    DOI: 10.1016/j.renene.2025.123824
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    References listed on IDEAS

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