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:
Dec. 06, 2022

Filed:

Apr. 07, 2017
Applicant:

Fanuc Corporation, Yamanashi, JP;

Inventors:

Yohei Kamiya, Yamanashi, JP;

Yasuo Yamada, Yamanashi, JP;

Assignee:

FANUC CORPORATION, Yamanashi, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G01M 15/14 (2006.01); G01N 29/14 (2006.01); G01N 29/44 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G01M 15/02 (2006.01); G06N 5/04 (2006.01); H04L 67/10 (2022.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G01M 15/02 (2013.01); G01M 15/14 (2013.01); G01N 29/14 (2013.01); G01N 29/4436 (2013.01); G01N 29/4445 (2013.01); G01N 29/4454 (2013.01); G01N 29/4481 (2013.01); G06N 3/0445 (2013.01); G06N 3/084 (2013.01); G06N 5/04 (2013.01); H04L 67/10 (2013.01); G01N 2291/0258 (2013.01); G01N 2291/2696 (2013.01);
Abstract

A machine learning device which learns fault prediction of one of a main shaft of a machine tool and a motor driving the main shaft, including a state observation unit observing a state variable including at least one of data output from a motor controller controlling the motor, data output from a detector detecting a state of the motor, and data output from a measuring device measuring a state of the one of the main shaft and the motor; a determination data obtaining unit obtaining determination data upon determining one of whether a fault has occurred in the one of the main shaft and the motor and a degree of fault; and a learning unit learning the fault prediction of the one of the main shaft and the motor in accordance with a data set generated based on a combination of the state variable and the determination data.


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