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Fault Diagnosis of Wind Turbine Bearing Using Variational Nonlinear Chirp Mode Decomposition and Order Analysis

机译:基于变分非线性Chirp模态分解和阶次分析的风力发电机轴承故障诊断。

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In this paper, a method for bearing fault diagnosis without using a tachometer under variable speed conditions by combining the variational nonlinear chirp mode decomposition (VNCMD) with angular resampling technique is proposed. First of all, the original bearing vibration signal can be decomposed and the rotation mode can be reconstructed by using the VNCMD. Then the rotation phase is calculated from the reconstructed rotation mode. In the next step, the original bearing vibration signal is resampled on the basis of the extracted rotation angle information. Finally, the bearing fault indicator can be displayed in the envelope order spectrum and then the bearing fault can be diagnosed. This method addresses the problem that the frequency components are aliasing in the envelope spectrum under variable speed conditions. The reliability and effectiveness of the method proposed in this study are proved by the experiments.
机译:本文提出了一种将变分非线性线性调频模式分解(VNCMD)与角度重采样技术相结合的变速条件下不使用转速表的轴承故障诊断方法。首先,可以使用VNCMD分解原始轴承振动信号,并重建旋转模式。然后根据重构的旋转模式计算旋转相位。在下一步中,基于提取的旋转角度信息对原始轴承振动信号进行重新采样。最后,轴承故障指示器可以在包络阶次谱中显示,然后可以诊断轴承故障。该方法解决了在变速条件下频率分量在包络频谱中混叠的问题。实验证明了该方法的可靠性和有效性。

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