WIND TURBINE ROTATIONAL FREQUENCY ESTIMATION AND FAULT DIAGNOSIS METHOD BASED ON DEEP INTEGRATION OF VIBRATION AND ROTOR CURRENT

Wang Chengyu; Wan Shuting; Zhang Xiong; Wang Xuan; Ci Tiejun

doi:10.19912/j.0254-0096.tynxb.2024-1628

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 621-633. DOI: 10.19912/j.0254-0096.tynxb.2024-1628

WIND TURBINE ROTATIONAL FREQUENCY ESTIMATION AND FAULT DIAGNOSIS METHOD BASED ON DEEP INTEGRATION OF VIBRATION AND ROTOR CURRENT

Wang Chengyu, Wan Shuting, Zhang Xiong, Wang Xuan, Ci Tiejun

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Abstract

To address the issue of low accuracy in estimating the instantaneous frequency of wind turbines using a single vibration or current signal, this paper proposes a method for rotational frequency estimation and gearbox fault diagnosis based on the deep integration of vibration and rotor current signals. The goal is to improve the accuracy of gearbox fault diagnosis in wind turbines. Firstly, the vibration and rotor current signals are denoised using the Variational Mode Decomposition method and low-pass filtering, respectively. The instantaneous frequency curves of the vibration and rotor current signals are then obtained using synchroextracting transform, and the time-frequency curves of both signals are preprocessed to obtain two time-frequency curves of the wind turbine. Subsequently, a DA-BLCNN deep network model is proposed to fuse the instantaneous frequency curves of the gearbox fault bearing. Finally, an order tracking algorithm is used to resample the gearbox vibration signal at equal angles, enabling fault detection of the gearbox. Through experimental validation of bearing faults in the gearbox under varying speeds, it can be concluded that the method proposed in this paper can effectively achieve fault diagnosis of the gearbox.

Key words

wind turbines / gearbox / data fusion / rotor current / fault diagnosis / frequency estimation

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Wang Chengyu, Wan Shuting, Zhang Xiong, Wang Xuan, Ci Tiejun. WIND TURBINE ROTATIONAL FREQUENCY ESTIMATION AND FAULT DIAGNOSIS METHOD BASED ON DEEP INTEGRATION OF VIBRATION AND ROTOR CURRENT[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 621-633 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1628

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