首页> 外国专利> A machine learning device and a machine learning method for learning the error prediction of a main shaft or a motor that drives the main shaft, and an error prediction device and an error prediction system comprising a machine learning device

A machine learning device and a machine learning method for learning the error prediction of a main shaft or a motor that drives the main shaft, and an error prediction device and an error prediction system comprising a machine learning device

机译:用于学习主轴或驱动主轴的电动机的误差预测的机器学习装置和机器学习方法,以及包括该机器学习装置的误差预测装置和误差预测系统

摘要

A machine learning apparatus 5 which learns the misprediction of a main shaft 212 of a machine tool 2 or a main shaft 212 driving motor 214, comprising a state observation unit 52 which observes a state variable output from a motor controller 3 controlling the motor 214 and / or from one State of the engine 214 detecting sensor 11 output data and / and output from a state of the main shaft 212 or the motor 214 measuring device output data; one of the determination data for determining whether an error has occurred at the main shaft 212 or at the motor 214, or an error-rate detecting detection data acquisition unit 51; and a learning unit 53 learning the error prediction of the main shaft 212 or the motor 214 in accordance with a data set generated based on a combination of the state variable and the determination data.
机译:机器学习装置5,其学习机床2的主轴212或驱动电动机214的主轴212的错误预测,包括状态观察单元52,该状态观察单元52观察从控制电动机214的电动机控制器3输出的状态变量。 /或从发动机214的一个状态检测传感器11的输出数据和/或从主轴212或电动机214的状态的测量装置输出的数据;用于确定在主轴212或电动机214上是否已经发生错误的确定数据之一,或错误率检测检测数据获取单元51;学习单元53根据基于状态变量和确定数据的组合而生成的数据集来学习主轴212或电动机214的错误预测。

著录项

  • 公开/公告号DE102017003165A1

    专利类型

  • 公开/公告日2017-10-12

    原文格式PDF

  • 申请/专利权人 FANUC CORPORATION;

    申请/专利号DE102017003165A1

  • 发明设计人 YOHEI KAMIYA;YASUO YAMADA;

    申请日2017-03-31

  • 分类号G05B19/4065;G08B21;H02P29;

  • 国家 DE

  • 入库时间 2022-08-21 13:22:05

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