Application of Elliptical Control Theory in Bearing Fault Detection
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摘要: 本文将椭圆控制理论引入到轴承故障检测中，提出新的轴承故障检测方法。首先对轴承正常状态下的数据进行分段，以各段数据提取到的AR模型系数和残差为参考状态向量，然后将待测数据的AR系数和残差依次添加到参考状态向量中并计算其前两阶主成分，以得到的前两阶主成分构建控制椭圆，最后根据待测数据AR系数和残差的前两阶主成分在椭圆控制图中的分布来判断轴承是否发生故障。实验结果表明：该方法可有效地识别轴承是否出现故障。Abstract: The elliptical control theory is introduced into bearing fault detection and a new bearing detection method is proposed in this paper. First the bearing data under the normal working state are segmented, with paragraphs data extraction to the AR model coefficient vector as the original features; then the AR model coefficient and its residual error of the vibration acceleration data, in turn, are joined to the original characteristics and its order in the first two principal components is calculated; finally according to the order of the first two principal components, the ellipse control chart is established, and from the distribution of the test data in the oval control chart to judge whether the bearing failure. The experimental results show that this method can effectively identify the failure of bearings.
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