Numerical control device and machine learning device
AssigneeMitsubishi Electric Corporation
InventorsMasakazu SAGASAKI, Yoshinori YAMADA
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AssigneeMitsubishi Electric Corporation
InventorsMasakazu SAGASAKI, Yoshinori YAMADA
Estimating the term…
A numerical control device includes a control computation unit to control a spindle that is a rotation axis of a machining target, first and second drive axes to drive a first tool and a second tool, respectively, to perform vibration cutting machining on the machining target. The control computation unit includes a machine learning device to learn a pass/fail prediction in which whether the vibration cutting machining passes is predicted. The machine learning device includes: an observation unit to observe a state variable including a vibration cutting condition for the first and second drive axes for the vibration cutting machining; a data acquisition unit to acquire pass/fail information indicating whether the vibration cutting machining has passed; and a learning unit to learn the pass/fail prediction according to a data set based on a combination of the state variable and the pass/fail information.
A numerical control device comprising:
A machine learning device to learn a pass/fail prediction in which whether vibration cutting machining using a numerical control device passes or fails is predicted, the numerical control device being configured to control a spindle that is a rotation axis of a machining target, a first drive axis to drive a first tool to perform vibration cutting machining on the machining target, and a second drive axis to drive a second tool to perform vibration cutting machining on the machining target, wherein the machine learning device comprises:
Dependencies are inferred from the claim text.