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Machinability Diagnostic Method based on Machine Learning for Optimizing Manufacturing System

机译:基于机器学习的可加工性诊断方法优化制造系统

摘要

The method for diagnosing workability based on learning for optimizing a production system according to the present invention includes steps (a) of collecting basic processing information required for processing, step (b) of processing the basic processing information, and step (b). (C) step of deriving a plurality of integrated data sets for each processing experiment condition by reflecting the processing tool information in the basic processing information processed by the process, and a plurality of parameter sets by combining at least some of the plurality of cutting condition parameters that affect the cutting force. (D) of deriving, step (e) of deriving a plurality of combination data by selecting and combining any one of the plurality of integrated data sets and one of the plurality of parameter sets, and the accuracy of the plurality of combination data Step (f) of verifying, step (g) of extracting representatively selected combination data from among the plurality of combination data whose accuracy is verified by the step (f), and under preset conditions based on the optimal combination data It includes (h) step of diagnosing processability.
机译:基于用于优化根据本发明的生产系统的基于学习的可加工性的方法包括收集处理所需的基本处理信息的步骤(a),处理基本处理信息的步骤(b)和步骤(b)。 (c)通过反映由处理处理的基本处理信息中的处理工具信息和通过组合所述多个切割条件中的至少一些参数集来导出用于每个处理实验条件的多个集成数据集的步骤影响切割力的参数。 (d)通过选择和组合多个集成数据集中的任何一个和多个参数集之一来导出多个组合数据的步骤(e),以及多个组合数据步骤的准确性( f)验证,从步骤(f)验证其准确性的多个组合数据中提取代表性的组合数据的步骤(g),并且基于其包括(h)步骤的最佳组合数据在预设条件下诊断可加工性。

著录项

  • 公开/公告号KR102226398B1

    专利类型

  • 公开/公告日2021-03-15

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020180150948

  • 申请日2018-11-29

  • 分类号G05B19/418;

  • 国家 KR

  • 入库时间 2022-08-24 17:42:21

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