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:
Mar. 03, 2020

Filed:

Jul. 07, 2017
Applicant:

The Boeing Company, Chicago, IL (US);

Inventors:

Dmitriy Korchev, Irvine, CA (US);

Charles E. Martin, Thousand Oaks, CA (US);

Tsai-Ching Lu, Thousand Oaks, CA (US);

Steve Slaughter, Scottsdale, AZ (US);

Alice A. Murphy, Mesa, AZ (US);

Christopher R. Wezdenko, Mesa, AZ (US);

Assignee:

The Boeing Company, Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G07C 5/08 (2006.01); H04L 29/08 (2006.01); H04L 29/06 (2006.01); H04L 29/14 (2006.01);
U.S. Cl.
CPC ...
G07C 5/0808 (2013.01); G07C 5/085 (2013.01); G07C 5/0816 (2013.01); H04L 67/12 (2013.01); H04L 69/04 (2013.01); H04L 69/40 (2013.01);
Abstract

A fault detection system including one or more sensors onboard a vehicle, the one or more sensors being configured to detect a predetermined characteristic of the vehicle and generate a plurality of sensor signals corresponding to the predetermined characteristic, and a processor onboard the vehicle and in communication with the one or more sensors, the processor being configured to generate an analysis model for the predetermined characteristic, the analysis model being trained by the processor with a training data set of fast Fourier transform vectors that are generated from the plurality of sensor signals obtained under normal operating conditions of the predetermined characteristic, and determine a health of a vehicle component corresponding to the predetermined characteristic with the analysis model.


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