公开(公告)号：US10443607B2

公开(公告)日：2019-10-15

申请号：US15459878

申请日：2017-03-15

Applicant: ROLLS-ROYCE plc

Inventor： William J Brown ,  Christopher R P Hall ,  Anthony M J Dickens ,  James V Taylor

IPC: F04D29/32 ,  F01D5/14

Abstract: A blade for an axial flow machine having a pressure surface, suction surface and trailing edge. The blade has a cross-sectional aerofoil profile including: a region of maximum curvature corresponding to the trailing edge of the blade and defining a trailing edge radius of curvature r; a trailing edge region extending from the trailing edge and having a chordwise extent equal to curvature r's trailing edge radius; a taper region adjacent the trailing edge region, the taper region having a chordwise extent greater than the curvature r's trailing edge radius and no more than 15% of the blade's chord; a body region adjacent the taper region; a pressure surface boundary corresponding to the blade's pressure surface; and a suction surface boundary corresponding to the blade's suction surface. A thickness between the pressure and suction surface boundaries reduces within the taper region towards the trailing edge by at least 50%.

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：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.