MACHINE LEARNING DEVICE AND METHOD FOR OPTIMIZING FREQUENCY OF TOOL COMPENSATION OF MACHINE TOOL, AND MACHINE TOOL HAVING THE MACHINE LEARNING DEVICE

摘要

A machine learning device and a machine learning method for optimizing timing at which a tool is to be compensated in a machine tool, and a machine tool including the machine learning device. The machine learning device includes a state observation unit for observing a time interval for compensating the tool, a processing error amount of a workpiece processed by the machine tool, and a machine working ratio of the machine tool as state variables, and a learning unit for learning an action value with respect to a change of a tool compensation interval based on the tool compensation interval, the processing error amount of a workpiece, and the machine working ratio that are observed by the state observation unit.

主权项

1. A machine learning device for learning an action value with respect to a change of a tool compensation interval that is a time interval for compensating a tool in a machine tool, the device comprising:
a state observation unit for observing the tool compensation interval of the machine tool, a processing error amount of a workpiece processed by the machine tool, and a machine working ratio of the machine tool as state variables; and a learning unit for learning by associating the tool compensation interval, the processing error amount, and the machine working ratio that are observed by the state observation unit with a change amount of the tool compensation interval.