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Bearing Fault Diagnosis for Direct-Drive Wind Turbines via Current-Demodulated Signals

机译:通过电流解调信号诊断直驱式风力发电机的轴承故障

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Bearing faults account for a large portion of all faults in wind turbine generators (WTGs). Current-based bearing fault diagnosis techniques have great economic benefits and are potential to be adopted by the wind energy industry. This paper models the modulation effects of bearing faults on the stator currents of a direct-drive wind turbine equipped with a permanent-magnet synchronous generator (PMSG) operating with a variable shaft rotating frequency. Based on the analysis, a method consisting of appropriate current frequency and amplitude demodulation algorithms and a 1P-invariant power spectrum density algorithm is proposed for bearing fault diagnosis of variable-speed direct-drive wind turbines using only one-phase stator current measurements, where 1P frequency stands for the shaft rotating frequency of a wind turbine. Experimental results on a direct-drive wind turbine equipped with a PMSG operating in a wind tunnel are provided to verify the proposed fault diagnosis method. The proposed method is demonstrated to have advantages over the method of directly using stator current measurements for WTG bearing fault diagnosis.
机译:轴承故障占风力涡轮发电机(WTG)所有故障的很大一部分。基于电流的轴承故障诊断技术具有巨大的经济效益,并且有可能被风能行业采用。本文模拟了轴承故障对配备有永磁同步发电机(PMSG)的直驱式风力涡轮机的定子电流的调制效果,该永磁同步发电机以可变的轴旋转频率运行。在分析的基础上,提出了一种由适当的电流频率和幅度解调算法以及1P不变功率谱密度算法组成的方法,用于仅使用单相定子电流测量的变速直驱风力发电机的轴承故障诊断,其中1P频率代表风力涡轮机的轴旋转频率。提供了在风洞中运行的装有PMSG的直驱式风力发电机的实验结果,以验证所提出的故障诊断方法。与直接使用定子电流测量进行WTG轴承故障诊断的方法相比,该方法具有优势。

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