基于自步学习的刀具加工过程监测数据异常检测方法
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张建, 胡小锋, 张亚辉
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Abnormal Detection Method of Tool Machining Monitoring Data Based on Self-Paced Learning
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ZHANG Jian, HU Xiaofeng, ZHANG Yahui
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表2 不同系数下的测试结果
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Tab.2 Test results of different coefficients
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| 实验编号 | β=1.5 | | β=2.0 | | β=2.5 | | β=3.0 | | β=3.5 | | MAE | RSME | MAE | RSME | MAE | RSME | MAE | RSME | MAE | RSME | | 1 | 1.386 | 1.608 | | 1.138 | 1.334 | | 1.169 | 1.417 | | 1.013 | 1.223 | | 1.315 | 1.572 | | 2 | 1.125 | 1.303 | | 1.286 | 1.533 | | 1.214 | 1.391 | | 1.122 | 1.365 | | 1.424 | 1.630 | | 3 | 1.170 | 1.410 | | 1.333 | 1.513 | | 1.431 | 1.738 | | 1.122 | 1.365 | | 1.424 | 1.630 | | 4 | 1.170 | 1.410 | | 1.214 | 1.391 | | 1.431 | 1.738 | | 1.122 | 1.365 | | 1.459 | 1.674 | | 5 | 1.232 | 1.388 | | 1.305 | 1.679 | | 1.214 | 1.391 | | 0.965 | 1.202 | | 1.424 | 1.630 | | 平均值 | 1.216 6 | 1.423 8 | | 1.255 2 | 1.490 0 | | 1.291 8 | 1.535 0 | | 1.068 9 | 1.304 0 | | 1.409 2 | 1.627 2 |
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