The Boeing Company

Venkateswara K Reddy

Rene Woszidlo

Avik Sadhu

John Alexander Ziebart

Deepu Vettimittathu Mathai

Partha Adhikari

Example implementations relate to predicting the health of an aircraft component based on a hybrid digital twin. A computing system receives nominal operational data and operational data from aircraft sensors based on flights by an aircraft to evaluate an aircraft component on the aircraft. The computing system can estimate first parameters corresponding to the aircraft component based on a nominal digital twin using the nominal operational data outside respective alerts corresponding to the aircraft component and second parameters corresponding to the aircraft component based on an operational digital twin using the operational data. The computing system then estimates a first health parameter and a second health parameter for the aircraft component based on the first parameters and the second parameters, respectively. The computing system performs a comparison between the first health parameter and the second health parameter in order to provide a value for the aircraft component that represents the health of the aircraft component.

Methods and systems for hybrid digital twin driven health predictions

An anti-ice swirl system for an aircraft engine includes a nacelle including a first nacelle section exposed to ambient environment and facing an oncoming airstream when an aircraft powered by the engine is in flight. The first nacelle section defines a circumferential D-duct. The anti-ice swirl system also includes a nozzle configured to inject into and circulate through the D-duct a controlled unsteady flow of heated fluid. The controlled unsteady flow mixes newly injected heated fluid with air inside the D-duct and mitigates icing of the first nacelle section when the aircraft is in flight.

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Bengaluru, India

Venkateswara K Reddy