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Journal Articles

An Efficient Quantification Method Based on Feature Selection for High-Dimensional Uncertainties of Multistage Compressors

Junying Wang, Xinqian Zheng, Heli Yang, Zhenzhong Sun, Zhaoyun Song, Yu Fu
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. February 2023, 145(2): 021002.
Paper No: GTP-22-1122
https://doi.org/10.1115/1.4056017
Published Online: November 28, 2022
View Article titled, An Efficient Quantification Method Based on Feature Selection for High-Dimensional Uncertainties of Multistage Compressors
Open the PDF for An Efficient Quantification Method Based on Feature Selection for High-Dimensional Uncertainties of Multistage Compressors in another window
Topics: Artificial neural networks, Compressors, Feature selection, Flow (Dynamics), Uncertainty, Uncertainty quantification, Construction
Journal Articles

Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning

Zhixiong Li, Kai Goebel, Dazhong Wu
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. April 2019, 141(4): 041008.
Paper No: GTP-18-1207
https://doi.org/10.1115/1.4041674
Published Online: November 16, 2018
View Article titled, Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning
Open the PDF for Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning in another window
Topics: Aircraft engines, Algorithms, Feature selection, Modeling, Particle swarm optimization, Service life (Equipment), Optimization, Weight (Mass)