A chatter vibration determination device is provided with a machine learning device configured to observe machining condition data including a feed speed and a spindle rotational frequency in cutting as state data representative of the current state of environment, execute processing related to machine learning using a learning model obtained by modeling the relationship of chatter vibration with a machining condition for the cutting, based on the state data, and estimate the occurrence/non-occurrence of chatter vibration and the improvement of the chatter vibration. The chatter vibration determination device outputs the result of the estimation of the occurrence/non-occurrence of the chatter vibration and the improvement of the chatter vibration.

A chatter vibration determination device is provided with a machine learning device configured to observe machining condition data including a feed speed and a spindle rotational frequency in cutting as state data representative of the current state of environment, execute processing related to machine learning using a learning model obtained by modeling the relationship of chatter vibration with a machining condition for the cutting, based on the state data, and estimate the occurrence/non-occurrence of chatter vibration and the improvement of the chatter vibration. The chatter vibration determination device outputs the result of the estimation of the occurrence/non-occurrence of the chatter vibration and the improvement of the chatter vibration.

A diagnostic device includes an error transition recording unit, an error transition input unit, an error cause recording unit, a cause diagnosis unit, and a display portion. A plurality of types of error transition information with different temporal transitions of the machining error caused by repeating the machining are recorded in the error transition recording unit. The error transition input unit selects one or a plurality of pieces of error transition information from the plurality of types of error transition information. A plurality of types of the causes are each recorded in association with the error transition information in the error cause recording unit. The cause diagnosis unit refers to the error cause recording unit and identifies the causes based on the error transition information selected by the error transition input unit. The display portion displays the causes identified by the cause diagnosis unit.