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中文摘要：
为了掌握设备的性能退化状态，提出了一种基于支持向量机的评估方法．基于CSVM算法。研究了设备特征向量与支持向量机最优分类面之间的几何距离与设备性能退化程度的关系．仿真结果表明，随着设备性能退化程度的恶化，数据向量的几何距离逐渐增大。因此，该方法可以有效地对设备性能退化进行评估．
英文摘要：
In order to find distance based on support out equipment performance degradation, an assessment method using geometric vector machine was proposed. In the method, the geometric distance between the data vector and the hyperplanis used to represent the level of equipment degradation. The relationship between the geometric distance and equipment degradation level is studied by the simulation data set. The results show that the geometric distance increases with the increase of degradation. The proposed method can assess equipment degradation effectively.
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