In a controller, a machine learning device, and a system that are capable of addressing change in a clamping force without use of expensive equipment, the controller includes the machine learning device that observes machining condition data indicating machining conditions for cutting, spindle torque data indicating spindle torque during the cutting, and cutting force component direction data indicating cutting force component direction information on cutting resistance against a cutting force, as state variables representing a current state of an environment, and that carries out learning or decision making with use of a learning model modelling the machining conditions for the cutting on which the cutting force that allows holding by a clamping force from a machining jig is exerted on a workpiece based on the state variables.

A time series acquisition unit acquires a time series related to power consumption of a machine for a certain time. A classification unit classifies the time series into any one of a plurality of clusters. A process estimation unit estimates a process executed by the machine, based on relationship information indicating a relationship between the plurality of clusters and the process of the machine, and the cluster into which the time series is classified.

In a controller, a machine learning device, and a system that are capable of addressing change in a clamping force without use of expensive equipment, the controller includes the machine learning device that observes machining condition data indicating machining conditions for cutting, spindle torque data indicating spindle torque during the cutting, and cutting force component direction data indicating cutting force component direction information on cutting resistance against a cutting force, as state variables representing a current state of an environment, and that carries out learning or decision making with use of a learning model modelling the machining conditions for the cutting on which the cutting force that allows holding by a clamping force from a machining jig is exerted on a workpiece based on the state variables.

A machining condition management system includes: a cutting tool that includes a cutting edge and a sensor; a storage that stores a mechanical machining condition and a measurement value; and a processor that performs revision of the mechanical machining condition based on the mechanical machining condition and the measurement value stored in the storage. The processor determines a load on the cutting tool based on the measurement value in a first cutting process under the mechanical machining condition, calculates a revised value for revising the mechanical machining condition for at least one machining interval that has fulfilled a prescribed condition in the determination for the first cutting process, and updates the mechanical machining condition in a second cutting process, based on the calculated revised value, and outputs the mechanical machining condition in the second cutting process.