CN116783561A - 机器学习装置 - Google Patents

机器学习装置 Download PDF

Info

Publication number
CN116783561A
CN116783561A CN202280009199.7A CN202280009199A CN116783561A CN 116783561 A CN116783561 A CN 116783561A CN 202280009199 A CN202280009199 A CN 202280009199A CN 116783561 A CN116783561 A CN 116783561A
Authority
CN
China
Prior art keywords
condition
swing
machine learning
learning
unit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202280009199.7A
Other languages
English (en)
Chinese (zh)
Inventor
堀川祐太郎
安田将司
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fanuc Corp
Original Assignee
Fanuc Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Fanuc Corp filed Critical Fanuc Corp
Publication of CN116783561A publication Critical patent/CN116783561A/zh
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H13/00Measuring resonant frequency
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00Subject matter not provided for in other groups of this subclass
    • G01M99/005Testing of complete machines, e.g. washing-machines or mobile phones
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Program-control systems
    • G05B19/02Program-control systems electric
    • G05B19/18Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of program data in numerical form
    • G05B19/4093Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of program data in numerical form characterised by part programming, e.g. entry of geometrical information as taken from a technical drawing, combining this with machining and material information to obtain control information, named part program, for the NC machine
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/092Reinforcement learning
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/33Director till display
    • G05B2219/33034Online learning, training

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Geometry (AREA)
  • Human Computer Interaction (AREA)
  • Manufacturing & Machinery (AREA)
  • Numerical Control (AREA)
CN202280009199.7A 2021-01-14 2022-01-07 机器学习装置 Pending CN116783561A (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2021004401 2021-01-14
JP2021-004401 2021-01-14
PCT/JP2022/000336 WO2022153936A1 (ja) 2021-01-14 2022-01-07 機械学習装置

Publications (1)

Publication Number Publication Date
CN116783561A true CN116783561A (zh) 2023-09-19

Family

ID=82447343

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202280009199.7A Pending CN116783561A (zh) 2021-01-14 2022-01-07 机器学习装置

Country Status (5)

Country Link
US (1) US20240302802A1 (https=)
JP (1) JP7538258B2 (https=)
CN (1) CN116783561A (https=)
DE (1) DE112022000207T5 (https=)
WO (1) WO2022153936A1 (https=)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7313585B1 (ja) * 2022-08-05 2023-07-24 三菱電機株式会社 駆動条件決定装置および駆動条件決定方法

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170322538A1 (en) * 2014-11-26 2017-11-09 Mitsubishi Electric Corporation Numerical control device
CN107797516A (zh) * 2016-09-06 2018-03-13 发那科株式会社 数值控制装置
CN109283887A (zh) * 2017-07-21 2019-01-29 发那科株式会社 机器学习装置、数值控制装置、数值控制系统以及机器学习方法
CN110347120A (zh) * 2018-04-02 2019-10-18 发那科株式会社 控制装置以及机器学习装置
CN110405532A (zh) * 2018-04-26 2019-11-05 发那科株式会社 工具选定装置以及机器学习装置
JP6739690B1 (ja) * 2019-12-03 2020-08-12 三菱電機株式会社 制御装置、放電加工機、および機械学習装置
CN111752214A (zh) * 2019-03-28 2020-10-09 发那科株式会社 伺服控制装置

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6499709B2 (ja) * 2017-04-14 2019-04-10 ファナック株式会社 揺動切削を行う工作機械の制御装置
JP6503002B2 (ja) * 2017-04-20 2019-04-17 ファナック株式会社 揺動切削を行う工作機械の制御装置
JP6499710B2 (ja) * 2017-04-20 2019-04-10 ファナック株式会社 加減速制御装置
JP6595537B2 (ja) 2017-07-27 2019-10-23 ファナック株式会社 揺動切削を行う工作機械の制御装置
JP7302226B2 (ja) * 2019-03-27 2023-07-04 株式会社ジェイテクト 研削盤の支援装置及び支援方法
CN111079690B (zh) * 2019-12-27 2022-05-20 华中科技大学 基于堆栈稀疏自动编码网络的主轴和工件振动预测方法
DE112020006576T5 (de) * 2020-03-24 2022-12-01 Mitsubishi Electric Corporation Numerisches Steuergerät

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170322538A1 (en) * 2014-11-26 2017-11-09 Mitsubishi Electric Corporation Numerical control device
CN107797516A (zh) * 2016-09-06 2018-03-13 发那科株式会社 数值控制装置
CN109283887A (zh) * 2017-07-21 2019-01-29 发那科株式会社 机器学习装置、数值控制装置、数值控制系统以及机器学习方法
CN110347120A (zh) * 2018-04-02 2019-10-18 发那科株式会社 控制装置以及机器学习装置
CN110405532A (zh) * 2018-04-26 2019-11-05 发那科株式会社 工具选定装置以及机器学习装置
CN111752214A (zh) * 2019-03-28 2020-10-09 发那科株式会社 伺服控制装置
JP6739690B1 (ja) * 2019-12-03 2020-08-12 三菱電機株式会社 制御装置、放電加工機、および機械学習装置
WO2021111530A1 (ja) * 2019-12-03 2021-06-10 三菱電機株式会社 制御装置、放電加工機、および機械学習装置

Also Published As

Publication number Publication date
JPWO2022153936A1 (https=) 2022-07-21
US20240302802A1 (en) 2024-09-12
WO2022153936A1 (ja) 2022-07-21
JP7538258B2 (ja) 2024-08-21
DE112022000207T5 (de) 2023-09-07

Similar Documents

Publication Publication Date Title
JP6608879B2 (ja) 機械学習装置、数値制御装置、数値制御システム、及び機械学習方法
CN111857052B (zh) 机器学习装置、数值控制系统以及机器学习方法
US10730182B2 (en) Action information learning device, robot control system and action information learning method
US10509397B2 (en) Action information learning device, action information optimization system and computer readable medium
JP6530783B2 (ja) 機械学習装置、制御装置及び機械学習プログラム
CN108388205B (zh) 学习模型构建装置以及控制信息最优化装置
CN109420800B (zh) 机器学习装置、控制系统、控制装置以及机器学习方法
JP6474456B2 (ja) 機械学習装置、サーボ制御システム及び機械学習方法
CN115443438B (zh) 在计算机辅助制造中自动预测加工工作流的系统和方法
CN110286645B (zh) 机器学习装置、伺服控制装置、伺服控制系统以及机器学习方法
JP2017030067A (ja) 加工時間測定機能とオンマシン測定機能を有する制御装置付き加工装置
CN112292703A (zh) 设备管理方法、装置、系统和存储介质
CN116783561A (zh) 机器学习装置
JP2020027644A (ja) モータ励起信号検索方法及び電子機器
JP6740263B2 (ja) 機械学習装置、サーボモータ制御装置、サーボモータ制御システム、及び機械学習方法
WO2020134011A1 (zh) 展示信息组合确定方法、装置、存储介质及电子设备
CN115280252B (zh) 机器学习装置、数值控制系统、设定装置、数值控制装置以及机器学习方法
WO2022210472A1 (ja) 加工条件調整装置
JP6952941B1 (ja) 加工条件設定装置、加工条件設定方法、および放電加工装置
JP7444187B2 (ja) モデル作成装置及びモデル作成方法
EP4167146A1 (en) Information processing program, information processing method, and information processing apparatus
WO2022003833A1 (ja) 位置決め制御装置および機械学習装置
WO2026028292A1 (ja) データセット作成支援システム、データセット作成支援装置およびデータセット作成支援プログラム
JP2025158106A (ja) 装置、並びに、コンピュータ実装されたデータ構造、類似度クエリの回答を説明するための方法、及び、類似度クエリの回答を説明するためのモデルをトレーニングするための方法

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination