Title:
MACHINE LEARNING DEVICE, PROCESSED STATE PREDICTION DEVICE, AND CONTROL DEVICE
Document Type and Number:
WIPO Patent Application WO/2021/153514
Kind Code:
A1
Abstract:
The purpose of the present invention is to create a learned model that outputs with high precision a processed state of a processed workpiece in a case where a burnishing process has been performed under a specified processing condition, without actually performing a processing operation or a simulation, and to predict the processed state with high precision using the learned model. This machine learning device is provided with: an input data obtaining unit that, in a burnishing process in which a processing surface of an arbitrary workpiece is surface-treated with an arbitrary tool, obtains as input data processing information including information of the workpiece prior to the burnishing process and information of a processing condition; a label obtaining unit that obtains label data indicating processed state information including a processed state of the workpiece after the burnishing process and surface roughness of the workpiece when the processed state is normal; and a learning unit that carries out supervised learning using the input data and the label data thus obtained to generate a learned model to which processing information of an upcoming burnishing process is input and which outputs processed state information for the burnishing process.
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Inventors:
OGINO HIDEO (JP)
Application Number:
PCT/JP2021/002485
Publication Date:
August 05, 2021
Filing Date:
January 25, 2021
Export Citation:
Assignee:
FANUC CORP (JP)
International Classes:
B24B39/00; B24B49/10; G05B19/4155
Foreign References:
| JP2012071389A | 2012-04-12 | |||
| JP2019038027A | 2019-03-14 | |||
| JP2006026747A | 2006-02-02 | |||
| JP2018106417A | 2018-07-05 |
Attorney, Agent or Firm:
SHOBAYASHI Masayuki et al. (JP)
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