Thermal displacement compensation system
US-2019099849-A1 · Apr 4, 2019 · US
US11087238B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11087238-B2 |
| Application number | US-201916393961-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 25, 2019 |
| Priority date | May 16, 2018 |
| Publication date | Aug 10, 2021 |
| Grant date | Aug 10, 2021 |
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A machine learning device includes a model data selection unit to select, under a change in ambient temperature of a manufacturing machine, a learned model for additional learning of a thermal displacement compensation amount in each axis included in the manufacturing machine with respect to an operation state of the manufacturing machine, and a learned model storage unit to associate and store a pattern of an ambient temperature change curve indicating a transition of a change in the ambient temperature of the manufacturing machine and the learned model that is learned under the change in the ambient temperature. Based on the ambient temperature change curve stored in the learned model storage unit, the model data selection unit selects a learned model suitable for the additional learning of the thermal displacement compensation amount in each axis included in the manufacturing machine with respect to the operation state of the manufacturing machine.
Opening claim text (preview).
The invention claimed is: 1. A thermal displacement compensation device that estimates a thermal displacement compensation amount in each axis included in a manufacturing machine, the thermal displacement compensation device comprising: a machine learning device that learns a thermal displacement compensation amount in each axis included in the manufacturing machine with respect to an operation state of the manufacturing machine, wherein the machine learning device includes a model data selection unit that selects, under a change in ambient temperature of the manufacturing machine, a learned model suitable for additional learning of the thermal displacement compensation amount in each axis included in the manufacturing machine with respect to the operation state of the manufacturing machine, and a learned model storage unit that associates and stores a pattern of an ambient temperature change curve indicating a transition of the change in the ambient temperature of the manufacturing machine, and a learned model that is learned under the change in the ambient temperature, and the model data selection unit selects the learned model suitable for the additional learning of the thermal displacement compensation amount in each axis included in the manufacturing machine with respect to the operation state of the manufacturing machine based on the ambient temperature change curve stored in the learned model storage unit. 2. The thermal displacement compensation device according to claim 1 , wherein the model data selection unit displays a list of the ambient temperature change curve stored in the learned model storage unit, and selects a learned model, which is associated to an ambient temperature change curve selected from the displayed ambient temperature change curve, as the learned model suitable for the additional learning of the thermal displacement compensation amount in each axis included in the manufacturing machine with respect to the operation state of the manufacturing machine. 3. The thermal displacement compensation device according to claim 1 , wherein the machine learning device further includes an ambient temperature change curve observation unit that acquires a change in the ambient temperature of the manufacturing machine, and the model data selection unit searches the learned model storage unit for an ambient temperature change curve similar to the change in the ambient temperature of the manufacturing machine which change is observed by the ambient temperature change curve observation unit, and selects a learned model associated to the found ambient temperature change curve as a learned model suitable for the additional learning of the thermal displacement compensation amount in each axis included in the manufacturing machine with respect to the operation state of the manufacturing machine.
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