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Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Direct-Drive Wind Turbines

机译:振动信号的电流辅助顺序跟踪,用于直接驱动式风力发电机的轴承故障诊断

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摘要

Vibration monitoring is one of the most popular, effective, and reliable methods for bearing fault diagnosis. A key issue in the vibration monitoring for the bearings used in variable-speed wind turbines is the elimination of the effect of the turbine shaft speed fluctuation in the vibration signals measured under varying-rotating-speed conditions. This paper proposes a new current-aided vibration order tracking method for bearing fault diagnosis of variable-speed direct-drive (i.e., no gearbox) wind turbines. The method explores a new simple and effective approach to acquire the reference signal from a current signal measured from the stator of the generator for vibration order tracking. First, the instantaneous fundamental frequency of the current signal is estimated in the time-frequency domain to obtain the shaft rotating frequency. Then, the shaft phase-time relationship is established. With this information, the envelope of the synchronously recorded vibration signal is subsequently resampled at the equal-phase-increment time points. Finally, bearing fault diagnosis is performed by observing the peaks at bearing characteristic frequencies in the power spectrum of the resampled vibration envelope signal. The proposed method is validated by successful diagnosis of different bearing faults in a direct-drive wind turbine under varying-speed conditions.
机译:振动监测是用于轴承故障诊断的最流行,有效和可靠的方法之一。在变速风力涡轮机中使用的轴承的振动监测中的一个关键问题是消除在变化的转速条件下测得的振动信号中涡轮轴速度波动的影响。本文提出了一种新的电流辅助振动阶次跟踪方法,用于诊断变速直驱(即无齿轮箱)风力涡轮机的轴承故障。该方法探索了一种新的简单有效的方法,可以从发电机定子测量的电流信号中获取参考信号,以进行振动阶次跟踪。首先,在时频域中估计电流信号的瞬时基频,以获得轴旋转频率。然后,建立轴相位-时间关系。利用该信息,随后在等相位增量时间点对同步记录的振动信号的包络线进行重新采样。最后,通过观察重采样振动包络信号的功率谱中轴承特征频率处的峰值来执行轴承故障诊断。通过成功诊断直接驱动风力发电机在变速条件下的不同轴承故障,验证了该方法的有效性。

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