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. 03, 2021

Filed:

Nov. 25, 2015
Applicant:

Lawrence Livermore National Security, Llc, Livermore, CA (US);

Inventor:

Brian Giera, Oakland, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 19/418 (2006.01); G05B 13/02 (2006.01); G06N 20/20 (2019.01); B22F 10/20 (2021.01); B33Y 50/02 (2015.01); B22F 10/30 (2021.01);
U.S. Cl.
CPC ...
G05B 19/41875 (2013.01); B22F 10/20 (2021.01); G05B 13/0265 (2013.01); G06N 20/20 (2019.01); B22F 10/30 (2021.01); B33Y 50/02 (2014.12); G05B 2219/32018 (2013.01); G05B 2219/33034 (2013.01); Y02P 90/02 (2015.11);
Abstract

A system for rapidly adapting production of a product based on classification of production data using a classifier trained on prior production data is provided. A production control system includes a learning system and an adaptive system. The learning system trains a production classifier to label or classify previously collected production data. The adaptive system receives production data in real time and classifies the production data in real time using the production classifier. If the classification indicates a problem with the manufacturing of the product, the adaptive system controls the manufacturing to rectify the problem by taking some corrective action. The production classifier is trained using bootstrap data and corresponding example data extracted from prior production data. Once the bootstrap data is labeled, the corresponding example data is automatically labeled for use as training data.


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