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Analysis and prediction method of manufacturing process quality using statistical analysis and deep learning, and recording medium thereof

机译:使用统计分析和深度学习制造工艺质量的分析与预测方法及其记录介质

摘要

The present invention relates to a manufacturing process quality analysis and prediction method, in which product process data related to a product process produced from a machine in a factory is collected in real time, and a statistical analysis is performed on the collected product process data to determine the product manufacturing process. It includes a statistical analysis step of analyzing and detecting an abnormal process through the analysis, and a prediction step of predicting the manufacturing process quality by using the statistical analysis result data. According to the present invention, by analyzing and predicting the manufacturing process quality using statistical analysis and deep learning, there is an effect that can improve product production efficiency by searching for an abnormal process and predicting the manufacturing process quality.
机译:本发明涉及一种制造工艺质量分析和预测方法,其中实时收集了与工厂中的机器生产的产品处理有关的产品处理数据,并且对收集的产品处理数据进行统计分析 确定产品制造过程。 它包括通过分析分析和检测异常过程的统计分析步骤,以及通过使用统计分析结果数据来预测制造工艺质量的预测步骤。 根据本发明,通过使用统计分析和深度学习分析和预测制造过程质量,存在通过寻找异常过程并预测制造工艺质量来提高产品生产效率的效果。

著录项

  • 公开/公告号KR20210128713A

    专利类型

  • 公开/公告日2021-10-27

    原文格式PDF

  • 申请/专利权人 충북대학교 산학협력단;

    申请/专利号KR1020200046721

  • 发明设计人 펭톨라;류관희;

    申请日2020-04-17

  • 分类号G05B23/02;G05B19/418;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-24 21:55:01

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