MACHINE LEARNING APPARATUS AND METHOD FOR LEARNING PREDICTED LIFE OF MOTOR, LIFE PREDICTION APPARATUS AND MOTOR SYSTEM INCLUDING MACHINE LEARNING APPARATUS
    1.
    发明申请
    MACHINE LEARNING APPARATUS AND METHOD FOR LEARNING PREDICTED LIFE OF MOTOR, LIFE PREDICTION APPARATUS AND MOTOR SYSTEM INCLUDING MACHINE LEARNING APPARATUS 有权
    机器学习装置和学习电动机,生命预测装置和电机系统的预测寿命的方法,包括机器学习装置

    公开(公告)号:US20170063276A1

    公开(公告)日:2017-03-02

    申请号:US15247984

    申请日:2016-08-26

    申请人: FANUC CORPORATION

    发明人: Chao ZHI

    摘要: A machine learning apparatus that learns a condition associated with a predicted life of a motor includes: a state observation unit that observes a state variable composed from at least one of output data of a sensor that detects an operation state of the motor and data relating to presence or absence of a failure in the motor; an actual life data acquisition unit that acquires data relating to an actual life of the motor; and a learning unit that learns the condition associated with the predicted life of the motor in accordance with a training data set created based on a combination of the state variable and the actual life.

    摘要翻译: 学习与电动机的预期寿命相关联的条件的机器学习装置包括:状态观测单元,其观察由检测电动机的运行状态的传感器的输出数据和与电动机的运转状态相关的数据中的至少一个构成的状态变量 电机故障存在或不存在; 实际生命数据获取单元,其获取与电动机的实际寿命有关的数据; 以及学习单元,其根据基于状态变量和实际寿命的组合创建的训练数据集来学习与电动机的预期寿命相关联的条件。

    MOTOR AND METHOD OF MANUFACTURING MOTOR
    2.
    发明申请

    公开(公告)号:US20180241275A1

    公开(公告)日:2018-08-23

    申请号:US15890029

    申请日:2018-02-06

    申请人: FANUC CORPORATION

    发明人: Chao ZHI Yohei KAMIYA

    IPC分类号: H02K5/16 H02K7/08 H02K5/173

    摘要: A motor includes a rotor including a shaft and a rotor body, a bearing fitted to the shaft and rotatably holding the shaft, a bearing holder arranged on the opposite side to the rotor body so as to hold the bearing, a movement regulation member arranged closer to the rotor body than the bearing and separated to regulate movement of the bearing toward the rotor body, a first engagement part provided at the rotor body to be adjacent to the movement regulation member, a first engagement target part provided at the movement regulation member to be adjacent to the rotor body to be able to be engaged with the first engagement target part, a second engagement part provided at the movement regulation member, a second engagement target part provided at the bearing holder, and a coupling member that couples the bearing holder and the movement regulation member.

    COLLISION POSITION ESTIMATION DEVICE AND MACHINE LEARNING DEVICE

    公开(公告)号:US20190278251A1

    公开(公告)日:2019-09-12

    申请号:US16286593

    申请日:2019-02-27

    申请人: FANUC Corporation

    摘要: A collision position estimation device allowing extraction of data related to a torque of a section related to collision of a cushion member includes a machine learning device. The machine learning device includes a state observation unit for observing axis movement data indicating information related to movement of the axis and motor torque data indicating data related to torque of a motor driving the axis as a state variable representing a current state of an environment, a label data acquisition unit for acquiring collision position data indicating the position of the axis during collision of the cushion member as label data, and a learning unit for associating and learning the information related to movement of the axis and the data related to the torque of the motor driving the axis with the position of the axis during collision of the cushion member using the state variable and the label data.