公开(公告)号：US11809987B2

公开(公告)日：2023-11-07

申请号：US16897903

申请日：2020-06-10

Applicant: ROLLS-ROYCE plc

Inventor： Christopher R Hall ,  Malcolm L Hillel ,  Bryce D Conduit ,  Anthony M Dickens ,  James V Taylor ,  Robert J Miller

IPC: G06N3/08 ,  G06N3/02 ,  G06N3/045 ,  G05B23/02 ,  G06N7/04

CPC classification number: G06N3/08 ,  G05B23/024 ,  G06N3/02 ,  G06N3/045 ,  G06N7/046

Abstract: A computer-implemented method controls input of at least a portion of a first training data set into a first machine learning algorithm. The first training data set includes data quantifying damage to a first compressor and data quantifying a first operating parameter of the first compressor. The first machine learning algorithm is executed, and data quantifying the first operating parameter is received as an output of the first machine learning algorithm. The first machine learning algorithm is trained using the received data output from the first machine learning algorithm and data quantifying the first operating parameter of the first compressor. The trained first machine learning algorithm is configured to enable determination of operability of a second compressor of a gas turbine engine.

公开(公告)号：US11525788B2

公开(公告)日：2022-12-13

申请号：US16897889

申请日：2020-06-10

Applicant: ROLLS-ROYCE plc

Inventor： Malcolm L Hillel ,  Bryce D Conduit ,  Anthony M Dickens ,  James V Taylor ,  Robert J Miller ,  Christopher R Hall

IPC: G01N21/95

Abstract: A computer-implemented method comprising: controlling input of data quantifying damage received by a compressor of a gas turbine engine into a first machine learning algorithm; receiving data quantifying a first operating parameter of the compressor as an output of the first machine learning algorithm; and determining operability of the compressor by comparing the received data quantifying the first operating parameter of the compressor with a threshold.

公开(公告)号：US12066389B2

公开(公告)日：2024-08-20

申请号：US17862863

申请日：2022-07-12

Applicant: ROLLS-ROYCE PLC

Inventor： Malcolm L Hillel ,  Bryce D Conduit ,  Anthony M Dickens ,  James V Taylor ,  Robert J Miller ,  Christopher R Hall

IPC: G01N21/95

CPC classification number: G01N21/95

Abstract: A computer-implemented method comprising: controlling input of data quantifying damage received by a compressor of a gas turbine engine into a first machine learning algorithm; receiving data quantifying a first operating parameter of the compressor as an output of the first machine learning algorithm; and determining operability of the compressor by comparing the received data quantifying the first operating parameter of the compressor with a threshold.

公开(公告)号：US11905028B2

公开(公告)日：2024-02-20

申请号：US17562775

申请日：2021-12-27

Applicant: ROLLS-ROYCE plc

Inventor： Malcolm L Hillel ,  Alexis Lambourne

IPC: B64D37/30 ,  B64D37/04 ,  B64D37/06 ,  B64C1/22

CPC classification number: B64D37/30 ,  B64C1/22 ,  B64D37/04 ,  B64D37/06

Abstract: An aircraft comprises a hydrogen-fuelled propulsion system, a plurality of like generally cylindrical hydrogen storage tanks and a conveying system arranged to convey hydrogen from the hydrogen storage tanks to the hydrogen-fuelled propulsion system. The aircraft further comprises a fuselage having a cargo bay (502) including one or more (510A-G) of the plurality of hydrogen storage tanks, the longitudinal axes (511A-G) of the one or more hydrogen storage tanks within the cargo bay extending parallel to the longitudinal axis (501) of the fuselage and lying in one or more planes (595, 597) extending across the width dimension of the cargo bay. The hydrogen storage tanks within the cargo bay have a common aspect ratio R in the range 4.2≤R≤25.7, allowing the volume of space with the cargo bay occupied by stored hydrogen to be maximised or approximately maximised.