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设备部件延寿的灰色多指标畸变预测模型 被引量:1
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作者 李强 刘思峰 《系统工程与电子技术》 EI CSCD 北大核心 2023年第2期597-605,共9页
针对设备部件延寿预测问题,首先,提出了上下限两种异常畸变指标,并给出灰色多指标延寿畸变预测模型的架构图和延寿预测示意图。其次,运用灰色系统方法分别构建了两阶段灰色预测模型,在第一阶段构建了灰色上下限畸变预测模型,得到下一次... 针对设备部件延寿预测问题,首先,提出了上下限两种异常畸变指标,并给出灰色多指标延寿畸变预测模型的架构图和延寿预测示意图。其次,运用灰色系统方法分别构建了两阶段灰色预测模型,在第一阶段构建了灰色上下限畸变预测模型,得到下一次发生畸变的日期;在第二阶段构建了GM(1,1)模型,对设备部件延寿以及上下限指标的异常值进行预测。同时,对模型的预测精度进行检验和分析,并根据模型的预测结果确定了设备部件延寿的时间。最后,以半导体制造业设备靶材延寿为实际应用案例,验证了该模型的有效性和可行性,为合理制定部件的最优维护更换时间以及对降低企业运维成本具有重要指导意义。 展开更多
关键词 设备延寿 剩余寿命 灰色畸变预测 半导体靶材
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装甲防护厚板淬火过程形状畸变的预测 被引量:6
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作者 孙朝阳 曾攀 +1 位作者 赵书行 张清东 《金属热处理》 CAS CSCD 北大核心 2008年第8期73-77,共5页
利用装甲钢的实测物性参数及淬火过程数值模拟平台NSSQ,建立了某型号装甲防护厚板淬火过程的计算模型。该模型考虑了装甲防护厚板的实际淬火工艺,采用1/2对称模型进行简化。材料本构考虑了热变形、相变变形、经典弹塑性变形、相变塑性... 利用装甲钢的实测物性参数及淬火过程数值模拟平台NSSQ,建立了某型号装甲防护厚板淬火过程的计算模型。该模型考虑了装甲防护厚板的实际淬火工艺,采用1/2对称模型进行简化。材料本构考虑了热变形、相变变形、经典弹塑性变形、相变塑性等效应。厚板水淬过程采用了实测的换热系数。各特征点淬火后变形量的模拟值与实测值基本吻合。对淬火过程变形温度、等效应力、等效应变及变形演化的分析,结果表明,装甲加热阶段的变形主要为均匀胀大变形,冷却阶段由于冷却速度的不均匀性,凹槽的存在对淬火变形的不均匀程度影响显著。 展开更多
关键词 淬火 数值模拟 畸变预测 相变
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Correction of seabed layer thickness in processing subbottom profile data 被引量:1
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作者 王方旗 亓发庆 +2 位作者 胡光海 董立峰 陶常飞 《Marine Science Bulletin》 2012年第2期83-96,共14页
The subbottom profiling is an important means of marine engineering survey, hazardous geology study and continental shelf scientific research. The accuracy of subbottom profile data interpretation has a direct impact ... The subbottom profiling is an important means of marine engineering survey, hazardous geology study and continental shelf scientific research. The accuracy of subbottom profile data interpretation has a direct impact on the research and investigation results. Because some of profilers’ transducer and hydrophone are separately installed, when the survey area is very shallow, distortion of shallow layers will be caused if it is seen as a self-excited and self-collected single-channel seismic system. According to the principle of subbottom profiler, the distortion correction formula is deduced and analyzed, providing actual value to using C-View software to interpret such subbottom profile data more accurately. In addition, the seabed sediments sound velocity is one of the key parameters when acquiring and processing the subbottom profile data. On the basis of comparing some sound velocity forecasting empirical equations, the LU Bo’s equation was considered the most appropriate to predict the seabed sediments, sound velocity at near-shore of China. In a survey of an artificial island site, the LU Bo’s equation and the porosity data obtained from geological drilling were utilized to predict the sediments sound velocity, and the sound velocity structure profile was plotted, which was applied in processing the subbottom profile data of the artificial island investigation. The method of using porosity data to predict sediments sound velocity in processing subbottom profile data can improve the interpretation accuracy and it’s of practical significance. 展开更多
关键词 subbottom profile layer thickness correction sound velocity forecasting equation POROSITY
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