Invention Grant
- Patent Title: Detecting fault states of an aircraft
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Application No.: US16151499Application Date: 2018-10-04
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Publication No.: US11598880B2Publication Date: 2023-03-07
- Inventor: Tsai-Ching Lu , Charles E. Martin , Stephen C. Slaughter , Richard Patrick
- Applicant: The Boeing Company
- Applicant Address: US IL Chicago
- Assignee: The Boeing Company
- Current Assignee: The Boeing Company
- Current Assignee Address: US IL Chicago
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: G01S19/20
- IPC: G01S19/20 ; G05B23/02 ; B64D45/00

Abstract:
An apparatus for detecting a fault state of an aircraft is provided. The apparatus accesses a training set of flight data for the aircraft. The training set includes observations of the flight data, each observation of the flight data includes measurements of properties selected and transformed into a set of features. The apparatus builds a generative adversarial network including a generative model and a discriminative model using the training set and the set of features, and builds an anomaly detection model to predict the fault state of the aircraft. The anomaly detection model is trained using the training set of flight data, simulated flight data generated by the generative model, and a subset of features from the set of features. The apparatus deploys the anomaly detection model to predict the fault state of the aircraft using additional observations of the flight data.
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