首页> 外国专利> Machine learning device and machine learning method for learning failure prediction of main shaft or motor driving main shaft, and failure prediction device and failure prediction system provided with machine learning device

Machine learning device and machine learning method for learning failure prediction of main shaft or motor driving main shaft, and failure prediction device and failure prediction system provided with machine learning device

机译:用于学习主轴或电动机驱动主轴的故障预测的机器学习装置和机器学习方法,以及具有该机器学习装置的故障预测装置和故障预测系统

摘要

A machine learning device and a machine learning method capable of detecting signs of a failure before a spindle of a machine tool or a motor driving the spindle breaks down, and a failure prediction device including the machine learning device and A failure prediction system is provided. A machine learning device 5 that learns a failure prediction of a spindle 212 of a machine tool 2 or a motor 214 that drives the spindle, and detects output data of the motor control device 3 that controls the motor and a state of the motor A state observation unit 52 for observing a state variable including at least one of output data of the detector 11 and output data of the measuring device 12 that measures a state of the main shaft or the motor, and a failure of the main shaft or the motor Learning the failure prediction of the spindle or the motor according to a determination data acquisition unit 51 for acquiring determination data for determining the presence or absence of a failure or the degree of failure, and a data set created based on a combination of the state variable and the determination data Learning unit 53. [Selection] Figure 1
机译:提供了一种能够在机床的主轴或驱动主轴的电动机发生故障之前检测故障迹象的机器学习装置和机器学习方法,并且提供了一种包括该机器学习装置和故障预测系统的故障预测装置。机器学习装置5,其学习机床2的主轴212或驱动主轴的电动机214的故障预测,并且检测控制电动机的电动机控制装置3的输出数据和电动机A状态的状态。观察单元52,用于观察状态变量,该状态变量包括检测器11的输出数据和测量主轴或电动机的状态的测量装置12的输出数据以及主轴或电动机的故障中的至少一项的学习根据确定数据获取单元51对主轴或电动机的故障预测,该确定数据获取单元51获取用于确定是否存在故障或故障程度的确定数据,以及基于状态变量和确定数据学习单元53。[选择]图1

著录项

  • 公开/公告号JP6140331B1

    专利类型

  • 公开/公告日2017-05-31

    原文格式PDF

  • 申请/专利权人 ファナック株式会社;

    申请/专利号JP20160078247

  • 发明设计人 神谷 洋平;山田 泰生;

    申请日2016-04-08

  • 分类号G05B19/18;G06N99;G06N3/08;G05B19/4062;G05B23/02;G05B19/4063;

  • 国家 JP

  • 入库时间 2022-08-21 13:54:33

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号