MACHINE LEARNING BASED AIRFLOW SENSING FOR AIRCRAFT

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MACHINE LEARNING BASED AIRFLOW SENSING FOR AIRCRAFT

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ZHOU WANG / HU HUAN / TAN WEI / CHEN QIANWEN

Using a set of airflow sensors disposed on an airfoil of an aircraft, first airflow data including an amount of airflow experienced at each airflow sensor at a first time is measured. Using a trained neural network model, the first airflow data is analyzed to determine an airflow state of the aircraft. In response to determining that the aircraft is in the abnormal airflow state, a control surface and a power unit of the aircraft are adjusted. Responsive to the adjusting, the aircraft is returned to the normal airflow state.

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Title :

MACHINE LEARNING BASED AIRFLOW SENSING FOR AIRCRAFT

Contributors:

ZHOU WANG (author) / HU HUAN (author) / TAN WEI (author) / CHEN QIANWEN (author)

Publication date :

2020-05-14

Type of media :

Patent

Type of material :

Electronic Resource

Language :

English

Classification :

IPC:

G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B64C AEROPLANES , Flugzeuge / B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT / G06K Erkennen von Daten , RECOGNITION OF DATA