公开(公告)号：US20180276570A1

公开(公告)日：2018-09-27

申请号：US15920820

申请日：2018-03-14

Applicant: FANUC CORPORATION

Inventor： Mitsunori WATANABE

IPC: G06N99/00 ,  G05B19/18

Abstract: A calculation formula learning unit sets a coefficient relating to a time lag element in a thermal displacement estimation calculation formula by machine learning while fixing a coefficient relating to measured data except the coefficient relating to the time lag element at a predetermined value based on a difference between a thermal displacement estimated value about a machine element calculated by substituting a measured data group into the thermal displacement estimation calculation formula and a thermal displacement actual measured value about the machine element; sets the coefficient relating to the measured data except the coefficient relating to the time lag element in the thermal displacement estimation calculation formula by machine learning based on the difference while fixing the coefficient relating to the time lag element at a predetermined value; and repeats the machine learning.

公开(公告)号：US20200311588A1

公开(公告)日：2020-10-01

申请号：US16831808

申请日：2020-03-27

Applicant: FANUC CORPORATION

Inventor： Mitsunori WATANABE ,  Keisuke WATANABE

IPC: G06N7/00 ,  G06F16/901 ,  G06N20/00

Abstract: An inspection apparatus includes a group data creation unit configured to create group data obtained by dividing a plurality of samples into a plurality of groups, a statistical state calculation unit configured to perform a statistical process for the samples divided into each of the groups to calculate data indicating a statistical state of a predetermined data item between the groups, and a user interface unit configured to display the statistical state in a display format enabling recognition of the statistical state between the groups on the basis of the data indicating the statistical state of the predetermined data item between the groups calculated by the statistical state calculation unit.

公开(公告)号：US20160062338A1

公开(公告)日：2016-03-03

申请号：US14837262

申请日：2015-08-27

Applicant: FANUC Corporation

Inventor： Mitsunori WATANABE ,  Takenori ONO

IPC: G05B19/19

CPC classification number: G05B19/19 ,  G05B19/416 ,  G05B2219/34179 ,  G05B2219/41408

Abstract: A numerical control device includes a command analysis unit, an acceleration calculation unit in reversing operation, a velocity control unit, and an interpolation unit. The acceleration calculation unit in reversing operation is configured to calculate the acceleration of the drive shaft before and after the reversing operation when reversal of the commanded path of the drive shaft based on the commanded data is detected by the velocity control unit.

Abstract translation: 数字控制装置包括命令分析单元，反转操作中的加速度计算单元，速度控制单元和内插单元。 反转操作中的加速度计算单元被构造成计算当由速度控制单元检测到基于指令数据的驱动轴的指令路径的反转时，在反转操作之前和之后的驱动轴的加速度。

公开(公告)号：US20230418274A1

公开(公告)日：2023-12-28

申请号：US18254385

申请日：2021-12-14

Applicant: FANUC CORPORATION

Inventor： Mitsunori WATANABE ,  Keita HADA

IPC: G05B23/02

CPC classification number: G05B23/0208

Abstract: This data collection plan generating device generates a data collection plan including a combination of operating conditions for use when data are being acquired from an industrial machine that is operating. The data collection plan generating device: sets the specification of the industrial machine; extracts a constraining condition relating to an operation of the industrial machine; on the basis of the specification and the constraining condition, generates a plurality of operating conditions including a set of parameter values relating to the set specification; and generates and outputs a data collection plan from the generated operating conditions.

公开(公告)号：US20190294126A1

公开(公告)日：2019-09-26

申请号：US16355860

申请日：2019-03-18

Applicant: FANUC Corporation

Inventor： Mitsunori WATANABE

IPC: G05B13/02

Abstract: A thermal displacement correction system performs thermal displacement correction in cooperation with a thermal displacement correction device and a computer connected via a network. The thermal displacement correction system that corrects thermal displacement caused by processing performed by a machine comprises: the thermal displacement correction device connected to the machine; and the computer connected to the thermal displacement correction device via the network. The computer comprises: a data acquisition unit that acquires environmental data on an external environment of the machine via the network; a correction value inference unit that calculates a correction value using the environmental data; and a correction value output unit that outputs the correction value to the network. The thermal displacement correction device comprises: a correction value acquisition unit that acquires the correction value via the network; and a correction execution unit that performs thermal displacement correction using the correction value.

公开(公告)号：US20180275629A1

公开(公告)日：2018-09-27

申请号：US15923534

申请日：2018-03-16

Applicant: FANUC CORPORATION

Inventor： Mitsunori WATANABE

IPC: G05B19/404 ,  G01K3/00

CPC classification number: G05B19/404 ,  G01K3/00 ,  G01K13/00 ,  G01N25/16 ,  G05B2219/32335 ,  G05B2219/33034 ,  G05B2219/49219

Abstract: A machine learning device includes: a measured data acquisition unit that acquires a measured data group; a thermal displacement acquisition unit that acquires a thermal displacement actual measured value about a machine element; a storage unit that uses the measured data group acquired by the measured data acquisition unit as input data, uses the thermal displacement actual measured value about the machine element acquired by the thermal displacement acquisition unit as a label, and stores the input data and the label in association with each other as teaching data; and a calculation formula learning unit that performs machine learning based on the measured data group and the thermal displacement actual measured value about the machine element, thereby setting a thermal displacement estimation calculation formula used for calculating the thermal displacement of the machine element based on the measured data group.