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:
Feb. 18, 2025

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:
Assistant Examiner:
Int. Cl.
CPC ...
B64F 5/40 (2017.01); B64F 5/60 (2017.01); G05B 23/02 (2006.01); 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 of a plurality of systems, including maintenance data and operational data. The instructions are further executable to display one or more algorithm templates and one or more data features calculated from the operational data, in a graphical user interface. The instructions are further executable to receive a selection of an algorithm template, a data feature, and a value of a parameter associated with the algorithm template, and to train and evaluate the selected algorithm template on the selected data feature according to the received value. The instructions are further executable to display a result of a metric of the evaluation, and generate a predictive maintenance model using the selected algorithm template.


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