Application of machine learning to process high-frequency sensor signals of a turbine engine

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United States of America Patent

PATENT NO 11892003
APP PUB NO 20200284265A1
SERIAL NO

16294358

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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A control system for active stability management of a compressor element of a turbine engine is provided. In one example aspect, the control system includes one or more computing devices configured to receive data indicative of an operating characteristic associated with the compressor element. For instance, the data can be received from a high frequency sensor operable to sense pressure at the compressor element. The computing devices are also configured to determine, by a machine-learned model, a stall margin remaining of the compressor element based at least in part on the received data. The machine-learned model is trained to recognize certain characteristics of the received data and associate the characteristics with a stall margin remaining of the compressor element. The computing devices are also configured to cause adjustment of one or more engine systems based at least in part on the determined stall margin remaining.

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Patent Owner(s)

  • GENERAL ELECTRIC COMPANY

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Adibhatla, Gagan Cincinnati, US 4 6
Barber, Evin Nathaniel Cincinnati, US 4 2
Cafaro, Stefan Joseph Maineville, US 26 9
Kongsomboonvech, Suchot Mason, US 1 2
Menditto,, III Frederick John Maineville, US 1 2
Panjwani, Rahim Cincinnati, US 1 2
Reepmeyer, James Ryan Cincinnati, US 10 8
Reimann, Johan Michael Ballston Spa, US 9 37
Schmitz, Aaron James Cincinnati, US 1 2
Zelinski, Richard Anthony Cincinnati, US 1 2

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