General Electric Company

Rahim Panjwani

Stefan Joseph Cafaro

James Ryan Reepmeyer

Johan Michael Reimann

Gagan Adibhatla

Evin Nathaniel Barber

Frederick John Menditto, Iii

Aaron James Schmitz

Suchot Kongsomboonvech

Richard Anthony Zelinski

Iii Frederick John Menditto

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.

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

Growing community of inventors

Cincinnati, OH, United States of America

Rahim Panjwani