CONTROLLER WITH NEURAL NETWORK FOR ESTIMATING GAS TURBINE INTERNAL CYCLE PARAMETERS
Patent №
US 5,857,321
Granted
1999-01-12
Filed 1996
Owner
GENERAL ELECTRIC COMPANY
Lab
—
AI components
3
ml · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
08661688
A gas turbine control system includes a controller that is coupled to actuator systems that govern operation of the gas turbine. The controller includes a processor for generating respective actuator control signals in correspondence with a plurality of turbine operating condition signals; the controller includes at least one neural network estimator that is trained to generate an estimated turbine operating condition signal. The neural network estimator typically has one or more hidden neuron layers that are coupled together in a feedforward structure, a recurrent neural network architecture. The estimated turbine operating condition signal generated by the neural network estimator typically, but not necessarily, represents a turbine internal cycle operating parameter for which the turbine has no corresponding operating parameter sensor.
AI classification
Ownership
GENERAL ELECTRIC COMPANY
assignment · 80540697
Assignors
RAJAMANI, RAVI, CHBAT, NICOLAS W., ASHLEY, TODD A.
On an employer assignment, the assignors are typically the inventors.