The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 18, 2022

Filed:

Jan. 27, 2020
Applicant:

Fanuc Corporation, Yamanashi, JP;

Inventors:

Masanobu Takemoto, Yamanashi, JP;

Keita Hada, Yamanashi, JP;

Assignee:

FANUC CORPORATION, Yamanashi, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 19/00 (2018.01); B23H 7/16 (2006.01); G06N 20/00 (2019.01); B23H 7/20 (2006.01); G05B 19/18 (2006.01); H04L 67/00 (2022.01); B23Q 17/09 (2006.01);
U.S. Cl.
CPC ...
B23H 7/16 (2013.01); B23H 7/20 (2013.01); G05B 19/182 (2013.01); G06N 20/00 (2019.01); H04L 67/00 (2013.01); B23Q 17/098 (2013.01); G05B 2219/49015 (2013.01);
Abstract

A wire disconnection prediction device includes: a data acquisition part configured to acquire data relating to machining of a workpiece during machining of the workpiece by a wire electric discharge machine; a preprocessing part configured to create, based on the data acquired by the data acquisition part, machining condition data, machining member data and machining state data, as state data indicating a state of the machining; and a machine learning device configured to execute, based on the state data created by the preprocessing part, processing relating to machine learning using a learning model indicating correlation between a machining state in the wire electric discharge machine and presence/absence of a possibility of disconnection occurrence of a wire electrode in the wire electric discharge machine and a disconnection cause by a plurality of class sets.


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