Detecting fault states of an aircraft
US11598880B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 4, 2018 |
| Grant date | Mar 7, 2023 |
| Priority date | — |
| Expiry date | Aug 30, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/2637
- WIPO fieldControl
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.