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:
Apr. 16, 2024

Filed:

Jul. 17, 2021
Applicant:

The Boeing Company, Chicago, IL (US);

Inventors:

Robert Michael Leitch, Vancouver, CA;

Yikan Wang, Burnaby, CA;

Bingjing Yu, Richmond, CA;

Assignee:

The Boeing Company, Arlington, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 23/02 (2006.01); B64F 5/40 (2017.01); B64F 5/60 (2017.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 10/20 (2023.01);
U.S. Cl.
CPC ...
B64F 5/40 (2017.01); B64F 5/60 (2017.01); G05B 23/0216 (2013.01); G05B 23/0235 (2013.01); G05B 23/024 (2013.01); G05B 23/0281 (2013.01); G05B 23/0283 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/20 (2013.01);
Abstract

A data processing system for generating predictive maintenance models is disclosed, including one or more processors, a memory, and a plurality of instructions stored in the memory. The instructions are executable to receive a historical dataset relating to each system of a plurality of systems, the historical dataset including maintenance data and operational data. The instructions are further executable to evaluate correlation between each of a plurality of operational data features and maintenance events of the maintenance data, using a supervised machine learning classification model. The instructions are further executable to display a quantitative result of the evaluation for each operational data feature in a graphical user interface, receive a selection of one or more operational data features of the plurality of operational data features, and generate a predictive maintenance model using the selected one or more operational data features according to a machine learning method.


Find Patent Forward Citations

Loading…