Tool selecting apparatus and machine learning device
AssigneeFanuc Corporation
InventorTakuya SAITOU
Life of this patent
Estimating the term…
Abstract
A machine learning device included in a tool selecting apparatus includes a state observing unit that observes, as state variables indicative of a current environmental state, data related to machining condition, data related to cutting condition, data related to machining result, and data related to a tool, and a learning unit that, by using the state variables, learns distribution of the data related to the machining condition, the data related to the cutting condition, and the data related to the machining result, with respect to data related to the tool.
Claims5
A tool selecting apparatus for selecting a tool type that is usable in machining of a workpiece under a designated condition, the tool selecting apparatus comprising
- a machine learning device that learns, for a designated condition, a tool type that is usable in machining of a workpiece, wherein
- the machine learning device includes:
- a state observing unit that observes, as state variables indicative of a current environmental state, data related to machining condition, data related to cutting condition, data related to machining result, and data related to a tool;
- and
- a learning unit that, by using the state variables, learns distribution of the data related to the machining condition, the data related to the cutting condition, and the data related to the machining result, with respect to the data related to the tool.
A tool selecting apparatus for selecting a tool type that is usable in machining of a workpiece under a designated condition, the tool selecting apparatus comprising
- a machine learning device that has learned, for a designated condition, a tool type that can be used for machining of a workpiece, wherein
- the machine learning device includes:
- a state observing unit that observes, as state variables indicative of a current environmental state, data related to machining condition, data related to cutting condition, data related to machining result;
- a learning unit that has learned distribution of the data related to the machining condition, the data related to the cutting condition, and the data related to the machining result, with respect to data related to a tool used in machining;
- and
- a determination unit that determines a tool type that is usable under a condition designated by the state variables, based on the state variables observed by the state observing unit and a learning result by the learning unit, and outputs the determined tool type.
A machine learning device for learning, for a designated condition, a tool type that is usable in machining of a workpiece, the machine learning device comprising:
- a state observing unit that observes, as state variables indicative of a current environmental state, data related to machining condition, data related to cutting condition, data related to machining result, and data related to a tool;
- and
- a learning unit that, by using the state variables, learns distribution of the data related to the machining condition, the data related to the cutting condition, and the data related to the machining result, with respect to the data related to the tool.
A machine learning device that has learned, for a designated condition, a tool type that is usable in machining of a workpiece, the machine learning device comprising:
- a state observing unit that observes, as state variables indicative of a current environmental state, data related to machining condition, data related to cutting condition, and data related to machining result;
- a learning unit that has learned distribution of the data related to the machining condition, the data related to the cutting condition, and the data related to the machining result, with respect to data related to a tool used in machining;
- and
- a determination unit that determines a tool type that is usable under a condition designated by the state variables, based on the state variables observed by the state observing unit and a learning result by the learning unit, and outputs the determined tool type.
Dependencies are inferred from the claim text.