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.
应用推荐