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Journal Articles

Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine

Libin Jia, Jeffrey Naber, Jason Blough, Seyed Alireza Zekavat
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. March 2014, 136(3): 031507.
Paper No: GTP-13-1231
https://doi.org/10.1115/1.4025886
Published Online: November 19, 2013
View Article titled, Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine
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Topics: Accelerometers, Combustion, Diesel engines, Radial basis function networks, Signals, Engines, Cylinders, Noise (Sound), Pressure
Journal Articles

A Demonstration of Artificial Neural-Networks-Based Data Mining for Gas-Turbine-Driven Compressor Stations

K. K. Botros, G. Kibrya, A. Glover
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Technical Papers
J. Eng. Gas Turbines Power. April 2002, 124(2): 284–297.
https://doi.org/10.1115/1.1414130
Published Online: March 26, 2002
View Article titled, A Demonstration of Artificial Neural-Networks-Based Data Mining for Gas-Turbine-Driven Compressor Stations
Open the PDF for A Demonstration of Artificial Neural-Networks-Based Data Mining for Gas-Turbine-Driven Compressor Stations in another window
Topics: Artificial neural networks, Compressors, Data mining, Engines, Parameter estimation, Sensors, Turbines, Gas turbines, Radial basis function networks, Errors