INTELLIGENT FAULT DIAGNOSIS METHOD FOR WIND TURBINE SPEED-INCREASING GEARBOX BASED ON IMPROVED MobileViT

Chen Xiangmin; Lei Hanlin; Zhang Kang; Li Yonghui; Li Bo; Yao Peng

doi:10.19912/j.0254-0096.tynxb.2024-1759

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 470-477. DOI: 10.19912/j.0254-0096.tynxb.2024-1759

INTELLIGENT FAULT DIAGNOSIS METHOD FOR WIND TURBINE SPEED-INCREASING GEARBOX BASED ON IMPROVED MobileViT

Chen Xiangmin, Lei Hanlin, Zhang Kang, Li Yonghui, Li Bo, Yao Peng

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Abstract

The fault diagnosis of speed increasing gearbox is of great significance for ensuring the reliable operation of doubly fed wind turbines. However, traditional method cannot fully extract the global information and the recognition accuracy is low under the operating conditions of speed increasing gearbox. In order to tackle this issue an intelligent fault diagnosis technique for the wind turbine's speed-increasing gearbox is proposed in this paper, based on advanced mobile ViT. In this method, the Gram matrix is used to convert the one-dimensional data into a two-dimensional image in the data preprocessing module, which maintains the dependence of the signal on time. Then, heterogeneous kernel-based convolutions （HetConv） are employed to extract the fault local information and also provide spatial position bias, and then the Vision transformer （ViT） with Self-Attention is utilized to extract the global features of the fault information. Finally, fault identification is executed according to the output of the fully connected layer. The experimental results show that the average accuracy of the proposed method is high than 99%, which is better than other commonly used networks. Moreover, the number of model parameters is lower, and the model is smaller.

Key words

wind turbines / fault detection / gearbox / MobileViT / Gram angle field

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Chen Xiangmin, Lei Hanlin, Zhang Kang, Li Yonghui, Li Bo, Yao Peng. INTELLIGENT FAULT DIAGNOSIS METHOD FOR WIND TURBINE SPEED-INCREASING GEARBOX BASED ON IMPROVED MobileViT[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 470-477 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1759

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