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:
Sep. 15, 2026

Filed:

Jan. 11, 2023
Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Zhiyi Chen, Ann Arbor, MI (US);

Harshal Maske, Farmington Hills, MI (US);

Devesh Upadhyay, Canton, MI (US);

Huanyi Shui, Ann Arbor, MI (US);

Michael Brendan Hopka, Milford, MI (US);

Xun Huan, Ann Arbor, MI (US);

Assignee:

Ford Global Technologies, LLC, Dearborn, MI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/02 (2006.01); G05B 13/04 (2006.01);
U.S. Cl.
CPC ...
G05B 13/027 (2013.01); G05B 13/042 (2013.01);
Abstract

A method includes generating, by a given autoencoder, a given operational indicator based on sensor data obtained from one or more sensors disposed at a given manufacturing station; selectively aggregating, by the given linear propagator and based on a linear mapping model, the given operational indicator and one or more additional operational indicators associated with one or more additional manufacturing stations to selectively generate an aggregated operational indicator; generating, by the given neural network and in response to generating the aggregated operational indicator, a predicted operational characteristic of the given manufacturing station based on the given operational indicator and the aggregated operational indicator; and determining a state of the manufacturing system based on the predicted operational characteristic and one or more additional predicted operational characteristics generated by one or more additional neural networks from among the plurality of neural networks.


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