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AssigneeFanuc Corporation
InventorKenichiro Shirai
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A machine learning device, performing machine learning for adjusting a position and a length of a welding part when a core is welded to a workpiece in a wire electric discharge machine, acquires the position and the length of the welding part as state data; sets reward conditions; calculates a reward based on the state data and the reward conditions; performs the machine learning of the adjustment; determines and outputs an adjustment target and its adjustment amounts based on the state data and a result of the machine learning; performs the machine learning of the adjustment based on the output adjustment action, the state data acquired based on the recalculated position and the recalculated length of the welding part, and the reward based on the state data; and outputs an optimum position of the welding part, the reward conditions being set as a positive or negative reward.
A machine learning device that performs machine learning of an adjustment of a position and a length of a welding part formed on a machining path for machining to weld a core to a workpiece when the core is cut out from the workpiece by a wire electric discharge machine that performs the machining to cut out the core from the workpiece based on machining preconditions including a program, the machine learning device comprising:
Dependencies are inferred from the claim text.