模态分析是结构动态设计及设备故障诊断的重要方法。
Modal analysis is a significant method in structure dynamic design and equipment fault diagnosis.
在分析了传统滚动轴承的振动信号处理方法的基础上，将经验模态分解法(EMD)应用到滚动轴承的故障诊断中来。
On the basis of the traditional vibration signals process method for the rolling bearing, the empirical mode decomposition (EMD) were applied in the fault diagnosis of the rolling bearing.
结合经验模态分解和主分量分析各自的优点，提出了一种基于EMD -PCA的轴承故障源的盲分离方法。
Combined the advantage of empirical mode decomposition (EMD) and principle component analysis (PCA), a blind separation method of rolling bearing faults is proposed based on EMD and PCA.
结合经验模态分解和主分量分析各自的优点，提出了一种基于EMD -PCA的轴承故障源的盲分离方法。
Combined the advantage of empirical mode decomposition (EMD) and principle component analysis (PCA), a blind separation method of rolling bearing faults is proposed based on EMD and PCA.
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