Based on these concepts, the KLT was employed to extract the state eigenvector from the bearing vibration signals, then the SVM classifier was established to recognize the fault pattern.

• 利用上述原理根据轴承振动信号的变化特征,采用K-L变换对其提取状态主特征向量,然后利用建立的支持向量机多故障分类器完成滚动轴承故障模式的识别。