将预处理后数据作为SVM(支持向量机)算法的输入，通过SVM算法来检测轴承故障。

Subsequently those preprocessing data are the input of SVM (support vector machine) algorithm, which is used for ball bearing fault detection.

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因此，通过有限元软件ANSYS对具有各种损伤程度的结构进行模态分析，得到固有频率和模态分量的数据，经过归一化处理后作为神经网络的输入向量。

Therefore, through structural modal analysis with different damage degree using ANSYS, get natural frequencies and mode shape data as neural network input vector after unitary.

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该系统的主要输入数据是心电向量图数据，但也可心接受心电图或其它临床参数和知识。

The major input data are VCG data, however, other ones, such as ECG or symptom parameters, can be also received.

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