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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.
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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
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.
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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.
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