Machine learning device for machine tool and thermal displacement compensation device
AssigneeFanuc Corporation
InventorSusumu Maekawa
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AssigneeFanuc Corporation
InventorSusumu Maekawa
Estimating the term…
A machine learning device that can optimize an equation for estimating a thermal displacement amount of a machine element based on the operating state of the machine element. The device acquires operating state data of the machine element, acquires a measured value for the thermal displacement amount, stores the operating state data and measured values for the thermal displacement amount of the machine element as training data associated together as a label, sets an equation for calculation the thermal displacement amount based on the operating state data, calculates an estimated value for the thermal displacement amount by substituting the operating state data into this equation, determines whether a difference between the estimated value for the thermal displacement amount and the measured value for the thermal displacement amount is no more than a predetermined threshold.
A machine learning device that optimizes a coefficient of an equation established in advance for estimating a thermal displacement amount of a machine element that thermally expands by way of machine learning, based on operating state data representing an operating state of the machine element of a machine tool having the machine element, wherein the equation is not an equation based on weighting by a neural network, but is an equation which defines time and operating state data of the machine element as variables, and includes integration by a predetermined coefficient or an exponent, the machine learning device comprising:
Dependencies are inferred from the claim text.