Basing on these, study theory and method of using Sphere-structured Support Vector Machines to recognize the roll bearing inside track's fault deterioration extent.
在此基础上，研究了用球结构支持向量机作分类器，对滚动轴承内圈故障的劣化程度进行识别的理论和方法。
By researching the data mining new arithmetic — Support Vector Machine, it is applied to the bearing life prediction.
通过对数据挖掘的新方法一支持向量机算法，进行研究，将其应用于轴承的寿命预测中。
In order to prepare statistical technology for the property analysis of bearing estimation, the statistical property of single vector sensor must be studied first.
为了给方位估计的性能分析预备必要的统计知识，必需首先研究单矢量传感器互谱估计的统计特性。
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