Control device and machine learning device
AssigneeFanuc Corporation
InventorKazuo SATO
Life of this patent
Estimating the term…
Abstract
A control device includes a machine learning device that learns a state of a spindle during normal machining without a collision of the spindle, and the machine learning device includes a state observation unit that observes spindle estimated load torque data indicating an estimated load torque value for the spindle and spindle acceleration data indicating an acceleration value of the spindle as state variables representing a current state of an environment and a learning unit that learns a correlation between the estimated load torque values for the spindle and the acceleration values of the spindle during the normal machining with use of the state variables.
Claims8
A control device that detects a collision of a spindle included in a machine tool, the control device comprising:
- a machine learning device that learns a state of the spindle during normal machining without the collision of the spindle, wherein
- the machine learning device includes
- a state observation unit that observes spindle estimated load torque data indicating an estimated load torque value for the spindle and spindle acceleration data indicating an acceleration value of the spindle as state variables representing a current state of an environment, and
- a learning unit that learns a correlation between the estimated load torque values for the spindle and the acceleration values of the spindle during the normal machining with use of the state variables.
A machine learning device that learns a state of a spindle during normal machining without a collision of a spindle included in a machine tool, the machine learning device comprising:
- a state observation unit that observes spindle estimated load torque data indicating an estimated load torque value for the spindle and spindle acceleration data indicating an acceleration value of the spindle, as state variables representing a current state of an environment;
- and
- a learning unit that learns a correlation between the estimated load torque values for the spindle and the acceleration values of the spindle during the normal machining, with use of the state variables.
Dependencies are inferred from the claim text.