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:
Aug. 17, 2021

Filed:

Jan. 04, 2019
Applicant:

Fanuc Corporation, Yamanashi, JP;

Inventors:

Hiroshi Takigawa, Yamanashi, JP;

Hisatada Machida, Yamanashi, JP;

Assignee:

Fanuc Corporation, Yamanashi, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); B23K 26/03 (2006.01); B23K 26/70 (2014.01); G06N 5/00 (2006.01); G06N 99/00 (2019.01); G06N 10/00 (2019.01); G06N 7/00 (2006.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 3/00 (2006.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); B23K 26/03 (2013.01); B23K 26/032 (2013.01); B23K 26/705 (2015.10); B23K 26/707 (2015.10); G06N 3/00 (2013.01); G06N 3/082 (2013.01); G06N 3/084 (2013.01); G06N 3/086 (2013.01); G06N 3/088 (2013.01); G06N 5/00 (2013.01); G06N 7/00 (2013.01); G06N 10/00 (2019.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G06N 99/00 (2013.01);
Abstract

A machine learning device is connected to a fiber laser device. The machine learning device observes, as a state variable representing a driving state of the fiber laser device, a state quantity including time-series data on output light detection results obtained by detecting a light output of laser light emitted from the fiber laser device and time-series data on reflected light detection results obtained by detecting reflected light of the laser light, and acquires determination data representing a failure occurrence situation in the fiber laser device as determined from a difference between the output light detection results and a light output instruction of the fiber laser device. The machine learning device learns a boundary condition for failure occurrence caused by the reflected light by using the state variable and the determination data.


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