Chatter vibration determination device, machine learning device, and system

A machine learning device, comprising:

• a processor configured to:
• observe and generate a learning model of machining condition data related to machining of a workpiece by a machine tool, the machining condition data including a feed speed and a spindle rotational frequency in cutting in the machine tool for cutting the workpiece by relatively moving the workpiece and the tool, as state data representative of a current state of environment, execute processing related to machine learning using the learning model generated by modeling a relationship of chatter vibration with a machining condition for the cutting, based on the observed state data, and estimate the occurrence/non-occurrence of chatter vibration and an improvement plan for the chatter vibration;
• output a result of the estimation of the occurrence/non-occurrence of the chatter vibration and the improvement plan for the chatter vibration to a chatter vibration determination device;
• and
• the chatter vibration determination device automatically adjusts a currently set machining condition of the machine tool so that the chatter vibration is reduced, based on the result of the estimation and the improvement of the chatter vibration during a control of the machining tool for cutting the workpiece.