针对增材制造过程中形成的缺陷会对工件造成不可逆的影响,分析了冷金属过渡(Cold metal transfer,CMT)增材制造过程的焊接电流信号和焊接电压信号,提出了一种基于时间序列算法的CMT增材制造缺陷在线监测方法。设置不同的焊接工况,收集...针对增材制造过程中形成的缺陷会对工件造成不可逆的影响,分析了冷金属过渡(Cold metal transfer,CMT)增材制造过程的焊接电流信号和焊接电压信号,提出了一种基于时间序列算法的CMT增材制造缺陷在线监测方法。设置不同的焊接工况,收集良好组和缺陷组的原始焊接电流和焊接电压信号,使用SAX(Symbolic aggregate approximation)算法对数据进行预处理。使用随机森林模型对数值型数据再分类,达到实时监测的效果;同时为突出SAX算法的优越性,设置对比试验组,将原始的焊接电流数据直接放入随机森林模型进行分类。结果表明,原始焊接电流组的测试集准确率为80%,SAX算法数据预处理组的测试集准确率为96%。展开更多
As the cash register system gradually prevailed in shopping malls, detecting the abnormal status of the cash register system has gradually become a hotspot issue. This paper analyzes the transaction data of a shopping...As the cash register system gradually prevailed in shopping malls, detecting the abnormal status of the cash register system has gradually become a hotspot issue. This paper analyzes the transaction data of a shopping mall. When calculating the degree of data difference, the coefficient of variation is used as the attribute weight;the weighted Euclidean distance is used to calculate the degree of difference;and k-means clustering is used to classify different time periods. It applies the LOF algorithm to detect the outlier degree of transaction data at each time period, sets the initial threshold to detect outliers, deletes the outliers, and then performs SAX detection on the data set. If it does not pass the test, then it will gradually expand the outlying domain and repeat the above process to optimize the outlier threshold to improve the sensitivity of detection algorithm and reduce false positives.展开更多
小角散射实验站用户获取的实验数据质量与实验站的光路优化状态(较低的散射背景、准确的样品前后光强计数等)密切相关。目前小角散射实验站光路优化是手动优化方式,不利于用户机时的有效利用。在实验物理与工业控制系统(Experimental Ph...小角散射实验站用户获取的实验数据质量与实验站的光路优化状态(较低的散射背景、准确的样品前后光强计数等)密切相关。目前小角散射实验站光路优化是手动优化方式,不利于用户机时的有效利用。在实验物理与工业控制系统(Experimental Physics and Industrial Control System,EPICS)和控制系统工具箱(Control System Studio,CSS)平台下,使用Python语言设计并开发了光路优化自动校准程序,通过狭缝刀口扫描确定直通光中心位置,根据遗传算法的单目标和多目标优化方法自动优化,得到较低的空气背底散射图像,最终完成调光。测试结果表明:自动校准程序可以在30 min内完成实验站单色光狭缝和束流阻挡器位置调试,简化了实验站的光路优化工作,提高了小角散射实验站的自动化程度。展开更多
文摘针对增材制造过程中形成的缺陷会对工件造成不可逆的影响,分析了冷金属过渡(Cold metal transfer,CMT)增材制造过程的焊接电流信号和焊接电压信号,提出了一种基于时间序列算法的CMT增材制造缺陷在线监测方法。设置不同的焊接工况,收集良好组和缺陷组的原始焊接电流和焊接电压信号,使用SAX(Symbolic aggregate approximation)算法对数据进行预处理。使用随机森林模型对数值型数据再分类,达到实时监测的效果;同时为突出SAX算法的优越性,设置对比试验组,将原始的焊接电流数据直接放入随机森林模型进行分类。结果表明,原始焊接电流组的测试集准确率为80%,SAX算法数据预处理组的测试集准确率为96%。
文摘As the cash register system gradually prevailed in shopping malls, detecting the abnormal status of the cash register system has gradually become a hotspot issue. This paper analyzes the transaction data of a shopping mall. When calculating the degree of data difference, the coefficient of variation is used as the attribute weight;the weighted Euclidean distance is used to calculate the degree of difference;and k-means clustering is used to classify different time periods. It applies the LOF algorithm to detect the outlier degree of transaction data at each time period, sets the initial threshold to detect outliers, deletes the outliers, and then performs SAX detection on the data set. If it does not pass the test, then it will gradually expand the outlying domain and repeat the above process to optimize the outlier threshold to improve the sensitivity of detection algorithm and reduce false positives.
文摘小角散射实验站用户获取的实验数据质量与实验站的光路优化状态(较低的散射背景、准确的样品前后光强计数等)密切相关。目前小角散射实验站光路优化是手动优化方式,不利于用户机时的有效利用。在实验物理与工业控制系统(Experimental Physics and Industrial Control System,EPICS)和控制系统工具箱(Control System Studio,CSS)平台下,使用Python语言设计并开发了光路优化自动校准程序,通过狭缝刀口扫描确定直通光中心位置,根据遗传算法的单目标和多目标优化方法自动优化,得到较低的空气背底散射图像,最终完成调光。测试结果表明:自动校准程序可以在30 min内完成实验站单色光狭缝和束流阻挡器位置调试,简化了实验站的光路优化工作,提高了小角散射实验站的自动化程度。
