1-6 of 6
Data mining
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Shapley Additive Explanations of Multigeometrical Variable Coupling Effect in Transonic Compressor

Junying Wang, Xiao He, Baotong Wang, Xinqian Zheng
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. April 2022, 144(4): 041015.
Paper No: GTP-21-1486
https://doi.org/10.1115/1.4053322
Published Online: February 10, 2022
View Article titled, Shapley Additive Explanations of Multigeometrical Variable Coupling Effect in Transonic Compressor
Open the PDF for Shapley Additive Explanations of Multigeometrical Variable Coupling Effect in Transonic Compressor in another window
Topics: Artificial neural networks, Blades, Compressors, Computational fluid dynamics, Databases, Design, Flow (Dynamics), Optimization, Rotors, Data mining
Journal Articles

Aerodynamic Design Optimization of an Axial Flow Compressor Stator Using Parameterized Free-Form Deformation

Richard Amankwa Adjei, WeiZhe Wang, YingZheng Liu
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. October 2019, 141(10): 101015.
Paper No: GTP-19-1195
https://doi.org/10.1115/1.4044692
Published Online: September 20, 2019
View Article titled, Aerodynamic Design Optimization of an Axial Flow Compressor Stator Using Parameterized Free-Form Deformation
Open the PDF for Aerodynamic Design Optimization of an Axial Flow Compressor Stator Using Parameterized Free-Form Deformation in another window
Topics: Blades, Deformation, Design, Optimization, Pressure, Stators, Flow (Dynamics), Data mining, Whirls
Journal Articles

Research on Metamodel-Based Global Design Optimization and Data Mining Methods

Liming Song, Zhendong Guo, Jun Li, Zhenping Feng
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. September 2016, 138(9): 092604.
Paper No: GTP-15-1568
https://doi.org/10.1115/1.4032653
Published Online: March 22, 2016
View Article titled, Research on Metamodel-Based Global Design Optimization and Data Mining Methods
Open the PDF for Research on Metamodel-Based Global Design Optimization and Data Mining Methods in another window
Topics: Data mining, Design, Optimization, Blades, Rotors
Journal Articles

Multi-Objective Aerodynamic Optimization Design and Data Mining of a High Pressure Ratio Centrifugal Impeller

Zhendong Guo, Liming Song, Zhiming Zhou, Jun Li, Zhenping Feng
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. September 2015, 137(9): 092602.
Paper No: GTP-15-1004
https://doi.org/10.1115/1.4029882
Published Online: September 1, 2015
View Article titled, Multi-Objective Aerodynamic Optimization Design and Data Mining of a High Pressure Ratio Centrifugal Impeller
Open the PDF for Multi-Objective Aerodynamic Optimization Design and Data Mining of a High Pressure Ratio Centrifugal Impeller in another window
Topics: Data mining, Design, Impellers, Optimization, Blades
Journal Articles

Developing Data Mining-Based Prognostic Models for CF-18 Aircraft

Marvin Zaluski, Sylvain Létourneau, Jeff Bird, Chunsheng Yang
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research Papers
J. Eng. Gas Turbines Power. October 2011, 133(10): 101601.
https://doi.org/10.1115/1.4002812
Published Online: May 6, 2011
View Article titled, Developing Data Mining-Based Prognostic Models for CF-18 Aircraft
Open the PDF for Developing Data Mining-Based Prognostic Models for CF-18 Aircraft in another window
Topics: Aircraft, Algorithms, Bearings, Data mining, Failure, Maintenance, Mining, Modeling, Flight, Sensors
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