Fault diagnosis method for wind power gearbox based on wavelet transform and optimized Swin Transformer

ZHOU Zhou1, CHEN Jie1,2, WU Mingming3

Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (15) : 200-208.

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PDF(2891 KB)
Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (15) : 200-208.

Fault diagnosis method for wind power gearbox based on wavelet transform and optimized Swin Transformer

  • ZHOU Zhou1, CHEN Jie1,2, WU Mingming3
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Abstract

To address the shortcomings of traditional fault diagnosis method in the application of wind turbine gearbox operation status identification, a fault diagnosis method for wind turbine gearbox based on wavelet transform and optimization Swin Transformer is proposed. This method uses wavelet transform to convert the vibration signal of wind turbine gearbox into a time-frequency diagram. Use the SuperMix data augmentation algorithm to augment the sample; The Swin Transformer model is trained and optimized by pre-trained model parameters using transfer learning technology. The trained and optimized Swin Transformer model is applied to the actual operation and maintenance data of the wind farm for comparison and verification, and the classification accuracy reaches 99.67%. The verification results show that the proposed method can effectively identify the operating status of wind turbine gearbox and improve the recognition accuracy of the model.

Key words

wind power gearbox / wavelet transform / data augmentation / Swin transformer

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ZHOU Zhou1, CHEN Jie1,2, WU Mingming3. Fault diagnosis method for wind power gearbox based on wavelet transform and optimized Swin Transformer[J]. Journal of Vibration and Shock, 2024, 43(15): 200-208

References

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