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Machine learning device and machine learning method for optimizing the frequency of tool correction of a machine tool and machine tool with the machine learning device

机译:机器学习装置和机器学习方法,用于优化工具的校正频率以及具有该机器学习装置的工具机

摘要

A machine learning device and a machine learning method for optimizing the timing at which a tool is to be corrected in a machine tool and a machine tool including the machine learning device. The machine learning apparatus includes a status observation unit for observing a time interval for correcting the tool, a processing error height of a workpiece being machined by the machine tool, and a machine operating ratio of the machine tool as status variables and a learning unit for learning an action value with respect to a change of a tool correction interval based on the Tool correction interval, the processing error height of a workpiece and the machine operating ratio, which are observed by the status observation unit.
机译:机器学习设备和机器学习方法,用于优化在机床和包括该机器学习设备的机床中校正工具的时机。机器学习装置包括:状态观察单元,用于观察校正工具的时间间隔;由机器工具加工的工件的加工误差高度;以及作为状态变量的机器的机器运转率;以及用于学习机器的学习单元。基于由状态观察单元观察到的工具校正间隔,工件的加工误差高度和机器操作比,学习关于工具校正间隔的变化的作用值。

著录项

  • 公开/公告号DE102016011532A1

    专利类型

  • 公开/公告日2017-03-30

    原文格式PDF

  • 申请/专利权人 FANUC CORPORATION;

    申请/专利号DE20161011532

  • 发明设计人 FUMITO YUKAWA;

    申请日2016-09-23

  • 分类号G05B19/404;G05B13/02;

  • 国家 DE

  • 入库时间 2022-08-21 13:22:23

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