US 12,312,101 B2
Methods and systems for hybrid digital twin driven health predictions
Partha Adhikari, Karnataka (IN); Deepu Vettimittathu Mathai, Karnataka (IN); Avik Sadhu, Karnataka (IN); and Venkateswara K. Reddy, Karnataka (IN)
Assigned to The Boeing Company, Arlington, VA (US)
Filed by The Boeing Company, Arlington, VA (US)
Filed on Apr. 26, 2023, as Appl. No. 18/307,412.
Prior Publication US 2024/0359826 A1, Oct. 31, 2024
Int. Cl. B64F 5/60 (2017.01); G06N 3/006 (2023.01); G07C 5/00 (2006.01); G07C 5/08 (2006.01)
CPC B64F 5/60 (2017.01) [G06N 3/006 (2013.01); G07C 5/008 (2013.01); G07C 5/0808 (2013.01); G07C 5/0816 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for predicting a health of an aircraft component based on a hybrid digital twin, the method comprising:
receiving, at a computing system, nominal operational data from at least one aircraft sensor based on respective alerts corresponding to the aircraft component during a plurality of flights by an aircraft, wherein the aircraft component is coupled to the aircraft;
estimating, by the computing system and based on a nominal digital twin using the nominal operational data, first parameters corresponding to the aircraft component, wherein the nominal digital twin uses portions of the nominal operational data outside the respective alerts corresponding to the aircraft component to estimate the first parameters corresponding to the aircraft component;
receiving, at the computing system, operational data from the at least one aircraft sensor based on the plurality of flights by the aircraft;
estimating, by the computing system and based on an operational digital twin using the operational data, second parameters corresponding to the aircraft component;
estimating a first health parameter for the aircraft component based on the first parameters and a second health parameter for the aircraft component based on the second parameters;
performing, by the computing system, a comparison between the first health parameter and the second health parameter; and
based on the comparison between the first health parameter and the second health parameter, providing a value for the aircraft component, wherein the value represents the health of the aircraft component.