US 12,066,389 B2
Computer-implemented methods for determining compressor operability
Malcolm L Hillel, Derby (GB); Bryce D Conduit, Derby (GB); Anthony M Dickens, Cambridge (GB); James V Taylor, Cambridge (GB); Robert J Miller, Cambridge (GB); and Christopher R Hall, Derby (GB)
Assigned to ROLLS-ROYCE plc, London (GB)
Filed by ROLLS-ROYCE PLC, London (GB)
Filed on Jul. 12, 2022, as Appl. No. 17/862,863.
Application 17/862,863 is a continuation of application No. 16/897,889, filed on Jun. 10, 2020, granted, now 11,525,788.
Claims priority of application No. 1908496 (GB), filed on Jun. 13, 2019.
Prior Publication US 2022/0364999 A1, Nov. 17, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G01N 21/95 (2006.01)
CPC G01N 21/95 (2013.01) 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
controlling input of data quantifying damage received by one or more components of a gas turbine engine into a first machine learning algorithm;
receiving data quantifying a first operating parameter of the gas turbine engine as an output of the first machine learning algorithm;
determining operability of the gas turbine engine by comparing the received data quantifying the first operating parameter of the gas turbine engine with a threshold;
generating control data based on one or more actions to be performed to increase operational safety of the gas turbine engine, wherein the one or more actions are determined based on the determined operability of the gas turbine engine; and
performing, as the one or more actions, controlling an orientation of one or more stators of a compressor of the gas turbine engine.