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。
In this paper, the principle component analysis (PCA) theory is introduced, and the theory is used for fault diagnosis of lock of actuator.
文中介绍了主元分析算法以及在故障检测方面的应用。
A nonlinear filtering method based on principle component analysis (PCA) was proposed according to the statistical characteristics of the Doppler ultrasound blood flow signal and wall thump signal.
根据超声多普勒血流信号和血管壁搏动信号的统计特性，提出了一种基于主元分析的非线性滤波方法。
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