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MACHINE LEARNING DEVICE, NUMERICAL CONTROL DEVICE, NUMERICAL CONTROL SYSTEM AND MASCHINAL LEARNING PROCESS

机译:机器学习装置,数值控制装置,数值控制系统和机械学习过程

摘要

In order to reduce the machining time while maintaining the machining accuracy by determining an appropriate machining condition by machine learning, a machine learning apparatus 300 configured to perform machine learning with respect to a numerical control apparatus 200 that includes a machine tool 100 based on FIG a machining program operates: a state information acquiring unit 301 for obtaining state information including conditions set in the machining program including the spindle speed, the feed rate, the number of cuts and the cut size per cutting operation or a tool compensation amount, and a cycle time for cutting one Workpiece and a machining accuracy of the workpiece; an action information output unit 303 for outputting action information including modification information of the conditions included in the status information to the numerical control device; a reward output unit 3021 for outputting a reward value in gain learning based on the cycle time and the processing accuracy included in the state information; and a value function updating unit 3022 for updating an action value function based on a reward value output by the reward output unit, the status information, and the action information.
机译:为了通过在机器学习中确定适当的加工条件而在维持加工精度的同时减少加工时间,基于图1,构成为对包括机床100的数控装置200进行机器学习的机器学习装置300。加工程序运行:状态信息获取单元301,用于获取状态信息,该状态信息包括在加工程序中设置的条件,包括主轴速度,进给速度,每次切削的切削数量和切削尺寸或刀具补偿量以及周期切割一个工件的时间和工件的加工精度;动作信息输出部303,将包括状态信息中包含的条件的变更信息在内的动作信息输出到数控装置。奖励输出单元3021,用于基于状态信息中包括的循环时间和处理精度,输出增益学习中的奖励值;值函数更新单元3022,用于根据奖励输出单元输出的奖励值,状态信息和动作信息来更新动作值函数。

著录项

  • 公开/公告号DE102018211682A1

    专利类型

  • 公开/公告日2019-01-24

    原文格式PDF

  • 申请/专利权人 FANUC CORPORATION;

    申请/专利号DE201810211682

  • 发明设计人 HIROSHI MATSUMURA;

    申请日2018-07-13

  • 分类号B23Q15;G05B13/02;G05B19/4155;

  • 国家 DE

  • 入库时间 2022-08-21 11:44:33

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