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首页> 外文期刊>Journal of algorithms & computational technology >Application of the phase difference correct method in rolling bearing fault diagnosis
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Application of the phase difference correct method in rolling bearing fault diagnosis

机译:相位差校正方法在滚动轴承故障诊断中的应用

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摘要

On the basis of empirical mode decomposition and teager energy operator, the new approach for rolling bearing fault diagnosis based on phase difference correction method is presented. It focuses on improving the identification precision of characteristic defect frequency of rolling bearing. Firstly, fault vibration signal is decomposed into finite number of intrinsic mode functions by empirical mode decomposition method. Secondly, computing the kurtosis value and correlation coefficient between intrinsic mode functions and original signal, then the reasonable intrinsic mode function is selected to demodulate by teager energy operator through the correlation coefficient and kurtosis value. Finally, the accurate characteristic defect frequency can be estimated by using phase difference correction method to correct the demodulation spectrum. The proposed method is applied in actual fault signals of rolling bearing with inner race damage and outer race damage. The results showed that, compared with the method without spectrum correction, the improved method receives better effect to identify characteristic defect frequency.
机译:在经验模态分解和提要能量算子的基础上,提出了一种基于相位差修正方法的滚动轴承故障诊断新方法。着重提高滚动轴承特征缺陷频率的识别精度。首先,通过经验模态分解方法将故障振动信号分解为有限数量的固有模态函数。其次,计算内在模态函数与原始信号之间的峰度值和相关系数,然后选择合理的内在模态函数,由Teager能量算子通过相关系数和峰度值进行解调。最后,可以通过使用相差校正方法校正解调频谱来估计准确的特征缺陷频率。该方法适用于带有内圈损伤和外圈损伤的滚动轴承的实际故障信号。结果表明,与不进行频谱校正的方法相比,改进后的方法能够更好地识别特征缺陷频率。

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