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1. 发明公开

US20230384764A1 A Controlling Method and Device for an Industrial Device 审中-公开
公开(公告)号：US20230384764A1
公开(公告)日：2023-11-30
申请号：US18245917
申请日：2020-09-21
申请人： Siemens Aktiengesellschaft
发明人： Xiang Li , Xiao Feng Wang , Fan Bo Meng
IPC分类号： G05B19/4155 , G05B19/4063
CPC分类号： G05B19/4155 , G05B19/4063 , G05B2219/32334 , G05B2219/49065
摘要： Various embodiments include methods for controlling an industrial device. Some embodiments include: obtaining a state input characterizing a current state of the industrial device; processing the state input to generate an action output characterizing an expected action to be performed by the industrial device for the current state, based on a machine learning model trained based on states of the industrial device, actions each performed for each state of the industrial device and results each obtained by performing each action; and generating a control signal for the industrial device based on the action output.

2. 发明申请

US20170308049A1 PRODUCTION SYSTEM THAT SETS DETERMINATION VALUE OF VARIABLE RELATING TO ABNORMALITY OF PRODUCT 审中-公开
公开(公告)号：US20170308049A1
公开(公告)日：2017-10-26
申请号：US15493866
申请日：2017-04-21
申请人： FANUC CORPORATION
发明人： Shouta Fujii , Sou Saitou
IPC分类号： G05B19/042
CPC分类号： G05B19/0426 , G05B13/0265 , G05B19/41875 , G05B2219/32187 , G05B2219/32221 , G05B2219/32334 , G05B2219/37375 , Y02P90/14 , Y02P90/22
摘要： A production system includes a cell control apparatus that is connected to a machine control apparatus and an inspection control apparatus. The cell control apparatus includes a storage part that stores data on a state of the manufacturing machine, data on an environment state, and data on an inspection result of a product. The cell control apparatus includes a correlation analysis part that selects a variable relating to an abnormality based on a correlation between the inspection result of the product, and the data on the state of the manufacturing machine and the data on the environment state when the abnormality occurs in the inspection result, and a determination value setting part that sets a determination value of the variable relating to the abnormality.

3. 发明授权

US11989658B2 Method and apparatus for reinforcement machine learning 有权
公开(公告)号：US11989658B2
公开(公告)日：2024-05-21
申请号：US16929975
申请日：2020-07-15
申请人： ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
发明人： Hyunseok Kim , Myung Eun Kim , Seonghyun Kim , Young Sung Son , Jongkwon Son , Soonyong Song , Donghun Lee , Ingook Jang , Jin Chul Choi
IPC分类号： G06N3/092 , G06N20/00 , G06N7/00
CPC分类号： G06N3/092 , G06N20/00 , G05B2219/32334 , G05B2219/33056 , G05B2219/34082 , G05B2219/40499 , G06N7/00
摘要： A method and an apparatus for exclusive reinforcement learning are provided, comprising: collecting information of states of an environment through the communication interface and performing a statistical analysis on the states using the collected information; determining a first state value of a first state among the states in a training phase and a second state value of a second state among the states in an inference phase based on analysis results of the statistical analysis; performing reinforcement learning by using one reinforcement learning unit of a plurality of reinforcement learning unit which performs reinforcement learnings from different perspectives according to the first state value; and selecting one of actions determined by the plurality of reinforcement learning unit based on the second state value and applying selected action to the environment.

4. 发明申请

US20180079076A1 MACHINE LEARNING DEVICE, ROBOT SYSTEM, AND MACHINE LEARNING METHOD FOR LEARNING OPERATION PROGRAM OF ROBOT 审中-公开
公开(公告)号：US20180079076A1
公开(公告)日：2018-03-22
申请号：US15702495
申请日：2017-09-12
申请人： FANUC CORPORATION
发明人： Syuntarou TODA
IPC分类号： B25J9/16 , B25J19/02 , G06N99/00 , G05B13/02 , G06N5/02
CPC分类号： B25J9/1664 , B25J9/163 , B25J19/023 , G05B13/0265 , G05B13/029 , G05B2219/32334 , G05B2219/33321 , G05B2219/45104 , G05B2219/45135 , G06N3/008 , G06N3/084 , G06N5/022 , G06N20/00
摘要： A machine learning device, which learns an operation program of a robot, includes a state observation unit which observes as a state variable at least one of a shaking of an arm of the robot and a length of an operation trajectory of the arm of the robot; a determination data obtaining unit which obtains as determination data a cycle time in which the robot performs processing; and a learning unit which learns the operation program of the robot based on an output of the state observation unit and an output of the determination data obtaining unit.

5. 发明申请

US20170060105A1 WIRE ELECTRIC DISCHARGE MACHINE PERFORMING MACHINING WHILE ADJUSTING MACHINING CONDITION 审中-公开
标题翻译：调节加工条件下进行电机排线加工
公开(公告)号：US20170060105A1
公开(公告)日：2017-03-02
申请号：US15248032
申请日：2016-08-26
申请人： FANUC Corporation
发明人： Mitsuharu ONODERA , Kaoru HIRAGA
IPC分类号： G05B13/02 , G06N99/00 , G05B19/042
CPC分类号： G05B13/0265 , B23H7/02 , B23H7/20 , G05B19/0426 , G05B2219/32334 , G05B2219/36289 , G06N99/005
摘要： A wire electric discharge machine according to the present invention includes a machine learning device which performs machine learning for adjustment of a machining condition of the wire electric discharge machine, the machine learning device includes a state observation unit which acquires data related to a machining state of a workpiece, a reward calculation unit which calculates a reward based on data related to a machining state, a machining condition adjustment learning unit which determines an adjustment amount of a machining condition based on a machine learning result and data related to a machining state, and a machining condition adjustment unit which adjusts a machining condition based on the determined adjustment amount of a machining condition, and the machining condition adjustment learning unit performs machine learning for adjustment of a machining condition based on the determined adjustment amount of a machining condition, data related to a machining state and acquired by the state observation unit, and a reward which is calculated by the reward calculation unit.
摘要翻译：根据本发明的电火花线切割机包括机器学习装置，该机器学习装置进行用于调整线放电机的加工条件的机器学习，机器学习装置包括：状态观察单元，其获取与加工状态有关的数据工件，奖励计算单元，其基于与加工状态有关的数据来计算奖励;加工条件调整学习单元，其基于机器学习结果和与加工状态有关的数据来确定加工条件的调整量;以及加工条件调整单元，其基于所确定的加工条件的调整量来调整加工条件，并且所述加工条件调整学习单元基于所确定的加工条件的调整量来执行用于调整加工条件的机器学习，数据相关到加工状态和获取由状态观察单元编辑，以及由奖励计算单元计算的奖励。

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