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Keywords: machine learning
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Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. July 2024, 146(7): 071009.
Paper No: GTP-23-1518
Published Online: February 8, 2024
... to operate. Over the last decade, there have been advances in the development of chemometric models, which use machine learning to correlate infrared spectra of fuels to fuel properties like DCN, density, and C/H ratio, among many others. These techniques have certain advantages over the ASTM methods...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. March 2024, 146(3): 031024.
Paper No: GTP-23-1376
Published Online: January 4, 2024
... are described. The approach for autonomous selection of the architectures and hyperparameters of Machine Learning (ML) models is explained. The uncertainty quantification techniques are considered. The developed ML-powered methods for compressor geometry prediction are discussed. The ML models' accuracy values...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. May 2024, 146(5): 051013.
Paper No: GTP-23-1360
Published Online: December 20, 2023
... in a specific configuration that enabled sharp images to be acquired at these extreme conditions. The collected images were processed using a purposely developed and trained machine learning (ML) algorithm to detect and characterize the droplets' evaporation regime. The results revealed different evaporation...
Journal Articles
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. January 2023, 145(1): 011001.
Paper No: GTP-22-1328
Published Online: October 19, 2022
... analysis. e-mail:  m.burlaka@softinway.com e-mail:  l.moroz@softinway.com 11 07 2022 11 08 2022 19 10 2022 axial compressor performance map machine learning artificial neural network compressor vanes' angles optimization Stennis Space Center 10.13039/100006205...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. November 2019, 141(11): 111023.
Paper No: GTP-19-1338
Published Online: October 23, 2019
...Michael T. Tong With the rise in big data and analytics, machine learning is transforming many industries. It is being increasingly employed to solve a wide range of complex problems, producing autonomous systems that support human decision-making. For the aircraft engine industry, machine learning...