试验结果表明，PCA对正常和故障样本有较大的区分度，SVDD分类器能很好的分辨出轴承正常和故障状态，并且对未知故障有良好的识别能力。

The test result shows that after the extraction of PCA, the SVDD classifier distinguished the normal and fault condition finely, and it also has good recognized ability to unknown fault samples.

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