SYSTEM AND METHOD FOR AIRCRAFT FAULT DETECTION

Patent №

US 11,080,948

Granted

2021-08-03

Filed 2020

Owner

THE BOEING COMPANY

Lab

AI components

2

planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16853887

An aircraft fault detection system including at least one aircraft data logging device that captures a collection of time-series flight data, from at least one aircraft subsystem, for at least one flight leg of an aircraft flight, and an aircraft controller coupled to the at least one aircraft data logging device. The aircraft controller groups the collections of time-series flight data into a plurality of test states, the plurality of test states being determined from a plurality of training states and one or more of the test states is different from other test states in the plurality of test states, generates at least one test transition matrix based on the plurality of test states and determine anomalous behavior of the at least one aircraft subsystem based on the at least one test transition matrix, and forecasts a fault within the at least one aircraft subsystem based on the anomalous behavior.

PlanningEvolutionary computationG07C 5/0808G05B 23/024G06N 5/04G06N 20/00G07C 5/085

AI classification

Planning1.00
Evolutionary computation0.59
Machine learning0.25
AI hardware0.15
Natural language0.05
Knowledge representation0.05
Speech0.03
Vision0.01

Ownership

THE BOEING COMPANY

assignment · 524630592

Assignors

SUNDARESWARA, RASHMI, LU, TSAI-CHING, BETZ, FRANZ D.

On an employer assignment, the assignors are typically the inventors.

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