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Study on Faults Diagnosis of Bearing for machine tool Based on EMD and Envelope Analysis

机译:基于EMD和包络分析的机床轴承故障诊断研究

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The envelope analysis technique, used for many years in faults detection of bearing by vibration analysis, is combined with the technique of empirical mode decomposition (EMD), which has been applied to non-stationary and non-linear signal analysis. The method to fault diagnosis of bearing based on EMD and envelope spectrum is presented. The methodology developed in this paper decomposes the original times series data in intrinsic oscillation modes, using the empirical mode decomposition. Then the envelope spectrum is applied to the selected intrinsic mode function (IMF) which stands for the bearing faults. The techniques are demonstrated by the experiments on a machine tool with a ball bearing under simulated crack on the inner race or outer race. The experimental results show that this method based on EMD and envelope spectrum can effectively diagnosis the faults of bearing.
机译:信封分析技术在振动分析中使用多年的故障检测,与经验模式分解技术(EMD)的技术相结合,已应用于非静止和非线性信号分析。 介绍了基于EMD和包络谱的轴承故障诊断方法。 在本文中开发的方法,使用经验模式分解,在内在振荡模式下分解原始次数序列数据。 然后将包络谱施加到所选择的内在模式(IMF),该功能代表轴承故障。 该技术通过在内部群体或外部群体上的模拟裂缝下的机床上的实验证明了该技术。 实验结果表明,该方法基于EMD和包络谱可以有效地诊断轴承的误差。

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