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:
Nov. 04, 2025

Filed:

Apr. 26, 2023
Applicant:

Rockwell Collins, Inc., Cedar Rapids, IA (US);

Inventors:

Darin M. Underwood, Cedar Rapids, IA (US);

D. Mark Fejfar, North Liberty, IA (US);

Assignee:

Rockwell Collins, Inc., Cedar Rapids, IA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B64D 37/00 (2006.01); G01F 23/18 (2006.01); G01N 9/04 (2006.01); G06N 3/02 (2006.01);
U.S. Cl.
CPC ...
B64D 37/005 (2013.01); G01F 23/18 (2013.01); G06N 3/02 (2013.01); G01N 9/04 (2013.01);
Abstract

A fuel quantity indicator system (FQIS) for an aircraft or other vehicle includes memory/data storage and a fuel quantity processing unit (FQPU). A neural network trained via machine learning and running on the FQPU receives fuel quantity (FQ) inputs from fuel tank sensors, e.g., tank density, fuel volume, water presence within the tank, at or near a given measurement time. The neural network additionally receives fuel flow (FF) inputs from flow sensors at the measurement time, indicating fuel flow to engines and auxiliary power units (APU) of the vehicle. Based on the FQ inputs and the FF inputs, the neural network calculates an estimated fuel quantity (EFQ) remaining, e.g., across all fuel tanks at or near a particular measurement time.


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