Machine learning apparatus for learning condition for starting laser machining, laser apparatus, and machine learning method

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	Machine learning apparatus for learning condition for starting laser machining, laser apparatus, and machine learning method
其他题名	Machine learning apparatus for learning condition for starting laser machining, laser apparatus, and machine learning method
	TAKIGAWA, HIROSHI; YOSHIDA, HIROYUKI; MACHIDA, HISATADA; MAEDA, MICHINORI; MIYATA, RYUSUKE; OHYAMA, AKINORI
	2017-08-03
专利权人	FANUC CORPORATION
公开日期	2017-08-03
授权国家	美国
专利类型	发明申请
摘要	The machine learning apparatus includes: a state data observing unit which observes state data of the laser apparatus, including data output from a reflected light detecting unit for measuring a reflected light amount; an operation result acquiring unit which acquires a success/failure result indicating whether the machining has been started successfully by the laser beam output from a laser oscillator; a learning unit which learns light output command data by associating the light output command data with the state data of the laser apparatus and the success/failure result of the machining start; and a decision making unit which determines the light output command data by referring to the light output command data learned by the learning unit.
其他摘要	该机器学习装置包括：状态数据观察单元，其观察激光装置的状态数据，包括从反射光检测单元输出的用于测量反射光量的数据;操作结果获取单元，通过从激光振荡器输出的激光束获取表示加工是否已成功开始的成功/失败结果;学习单元，通过将光输出命令数据与激光装置的状态数据和加工开始的成功/失败结果相关联来学习光输出命令数据;以及决策单元，其通过参考由学习单元学习的光输出命令数据来确定光输出命令数据。
主权项	A machine learning apparatus for learning light output command data containing a light output command to be issued to the laser power supply unit to start the machining, for use in a laser apparatus comprising at least one laser oscillator for performing machining such as cutting or welding by applying laser beam to a workpiece and at least one or more laser power supply units for supplying power to the laser oscillator, the machine learning apparatus comprising: a state data observing unit which observes state data of the laser apparatus, including data output from an output light detecting unit for measuring an output light amount which is the amount of the laser beam output from the laser oscillator by passing through a laser optical system, and data output from a reflected light detecting unit for measuring a reflected light amount which is the amount of reflected light, the reflected light being the laser beam reflected from a surface of the workpiece back into the laser oscillator and/or the laser optical system; an operation result acquiring unit which acquires a success/failure result indicating whether the machining has been started successfully by the laser beam that the laser oscillator output based on the light output command data; a learning unit which receives an output from the state data observing unit and an output from the operation result acquiring unit, and learns the light output command data containing the light output command to the laser power supply unit by associating the light output command data with the state data of the laser apparatus and the success/failure result of the machining start; and a decision making unit which determines the light output command data containing the light output command to the laser power supply by referring to the light output command data learned by the learning unit, and wherein the machine learning apparatus learns the light output command data for starting the machining on the workpiece within a predefined time period while satisfying a condition that the reflected light amount does not exceed a second predetermined level which is set higher than a first predetermined level.
申请日期	2017-01-20
专利号	US20170220927A1
专利状态	申请中
申请号	US15/411232
公开（公告）号	US20170220927A1
IPC 分类号	G06N3/08 \| H04L29/08 \| B23K26/03 \| H01S5/00
专利代理人	-
代理机构	-
文献类型	专利
条目标识符	http://ir.opt.ac.cn/handle/181661/62243
专题	半导体激光器专利数据库
作者单位	FANUC CORPORATION
推荐引用方式 GB/T 7714	TAKIGAWA, HIROSHI,YOSHIDA, HIROYUKI,MACHIDA, HISATADA,et al. Machine learning apparatus for learning condition for starting laser machining, laser apparatus, and machine learning method. US20170220927A1[P]. 2017-08-03.