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. 27, 2021

Filed:

Feb. 26, 2020
Applicant:

The Boeing Company, Chicago, IL (US);

Inventors:

Jason M. Keller, St. Louis, MO (US);

James M. Ethington, St. Charles, MO (US);

Liessman E. Sturlaugson, St. Louis, MO (US);

Mark H. Boyd, Redondo Beach, CA (US);

Assignee:

THE BOEING COMPANY, Chicago, IL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 17/11 (2006.01); G07C 5/08 (2006.01); B64D 45/00 (2006.01); B64F 5/60 (2017.01); H04L 29/08 (2006.01); H04W 4/38 (2018.01); H04W 4/42 (2018.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); B64D 45/00 (2013.01); B64F 5/60 (2017.01); G06F 17/11 (2013.01); G07C 5/085 (2013.01); G07C 5/0808 (2013.01); H04L 63/1416 (2013.01); B64D 2045/0085 (2013.01); H04L 67/12 (2013.01); H04W 4/38 (2018.02); H04W 4/42 (2018.02);
Abstract

Method and apparatus for detecting anomalous flights. Embodiments collect sensor data from a plurality of sensor devices onboard an aircraft during a flight. Feature definitions are determined, specifying a sensor device and an algorithm for deriving data values from sensor data collected from the device. Embodiments determine whether anomalous activity occurred during the flight using an anomaly detection model. An anomaly is detected including at least one of (i) a contextual anomaly where a data instance of a plurality of data instances is anomalous relative to a specific context, or (ii) a collective anomaly where two or more data instances are anomalous relative to a remainder of the plurality of data instances, even though each of the two or more data instances is not anomalous in and of itself. A report specifying a measure of the anomalous activity for the flight is generated.


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