公开(公告)号：US11598880B2

公开(公告)日：2023-03-07

申请号：US16151499

申请日：2018-10-04

申请人： The Boeing Company

发明人： Tsai-Ching Lu ,  Charles E. Martin ,  Stephen C. Slaughter ,  Richard Patrick

IPC分类号： G01S19/20 ,  G05B23/02 ,  B64D45/00

摘要： 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.