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Learning equipment and programs, anomalous factor estimation system, and forging press equipment

机译:学习设备和程序,异常因子估计系统和锻造压力机设备

摘要

PROBLEM TO BE SOLVED: To make it possible to estimate an abnormal factor of a product. SOLUTION: A learning device (100) has a condition feature amount of each of a plurality of types of processing conditions including a die height value, a die contact time, and a die temperature detected by sensors mounted on a forging press device. The generation means (101) that generates a learning model (111) by machine learning the correlation with the load peak value or the load feature amount, which is the load increase gradient, for each mold pattern, and the learning model generated by the generation means. Based on this, an analysis means that analyzes the importance of each processing condition with respect to the load feature amount for each mold pattern, and estimates the processing conditions related to the quality of the product among a plurality of types of processing conditions for each mold pattern. (104) and. [Selection diagram] Fig. 4
机译:要解决的问题:使得可以估计产品的异常因子。解决方案:学习设备(100)具有多种类型的处理条件中的每一个的条件特征量,包括模具高度值,模具接触时间和由安装在锻造压机装置上的传感器检测的芯片温度。通过计算机生成学习模型(111)的生成装置(101)与负载峰值或负载特征量的相关性,每个模具图案为负载增加梯度,以及由生成产生的学习模型方法。基于此,分析装置对每个模具图案的负载特征量分析每个处理条件的重要性,并估计与每个模具的多种类型的处理条件中的产品质量相关的处理条件图案。 (104)和。 [选择图]图4

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