US 11,807,389 B2
Systems and methods for aircraft management
Sean Bushkov, San Francisco, CA (US); and Derek Waterman, San Francisco, CA (US)
Assigned to AERMETRIC TECHNOLOGY GROUP, INC., Wilmington, DE (US)
Filed by Aermetric Technology Group, Inc., Wilmington, DE (US)
Filed on Nov. 4, 2022, as Appl. No. 17/981,011.
Claims priority of provisional application 63/277,727, filed on Nov. 10, 2021.
Prior Publication US 2023/0146900 A1, May 11, 2023
Int. Cl. B64D 45/00 (2006.01); G07C 5/00 (2006.01); G07C 5/08 (2006.01)
CPC B64D 45/00 (2013.01) [G07C 5/006 (2013.01); G07C 5/0816 (2013.01); B64D 2045/0085 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method for monitoring recurrent aircraft faults, comprising:
(a) retrieving a plurality of data entries from an aircraft, the plurality of data entries comprising semantic information about a plurality of recurrent aircraft faults;
(b) using a trained machine learning algorithm, establishing a plurality of pairwise relations of the plurality of data entries, a pairwise relation corresponding to a recurrent fault of the plurality of recurrent aircraft faults, wherein a pairwise relation comprises at least two fault occurrences associated with an aircraft component within a period, wherein the at least two fault occurrences are at one location of the aircraft, wherein the plurality of data entries is derived from one or more of maintenance logs, pilot reports, or centralized fault diagnosis system (CFDS) data;
(c) generating one or more alerts from the plurality of pairwise relations; and
(d) presenting the one or more alerts in a user interface.