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. 14, 2026

Filed:

Mar. 03, 2022
Applicants:

Airbus Operations Limited, Bristol, GB;

Airbus (S.a.s.), Blagnac, FR;

Inventors:

George Howell, Bristol, GB;

Jean-Marie Dautelle, Blagnac, FR;

Andrea Laruelo-Fernandez, Blagnac, FR;

William Parr, Bristol, GB;

Assignees:

Airbus Operations Limited, Bristol, GB;

Airbus (S.A.S.), Blagnac, FR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 18/21 (2023.01); G06N 3/04 (2023.01); G07C 5/02 (2006.01); G07C 5/08 (2006.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 18/217 (2023.01); G06N 3/04 (2013.01); G07C 5/02 (2013.01); G07C 5/0808 (2013.01); G07C 5/0841 (2013.01);
Abstract

A method of training a neural network to control an aircraft system. The method includes obtaining an operational mode data space representing a set of operational modes for the aircraft system, wherein each operational mode represents a configuration of the aircraft system where performance of an aircraft component is impaired according to an aircraft system model. Each operational mode includes probability data indicating a respective probability of the operational mode occurring, according to the model. The method includes generating a reduced operational mode data space including operational modes having a probability greater than a theoretical operational probability threshold, and generating a training operational mode data space including operational modes within the reduced operational mode data space that have a probability less than a real-world operational probability threshold. The method includes training the neural network using operational modes within the training operational mode data space.


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