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Mengyu Xu
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Journal Articles

Prediction Enhancement of Machine Learning Using Time Series Modeling in Gas Turbines

Vipul Goyal, Mengyu Xu, Jayanta Kapat, Ladislav Vesely
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. December 2023, 145(12): 121005.
Paper No: GTP-23-1306
https://doi.org/10.1115/1.4063459
Published Online: October 17, 2023
View Article titled, Prediction Enhancement of Machine Learning Using Time Series Modeling in Gas Turbines
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Topics: Blades, Gas turbines, Temperature, Time series, Modeling, Errors, Flow (Dynamics), Fuels
Proceedings Papers

Prediction Enhancement of Machine Learning Using Time Series Modeling in Gas Turbines

Vipul Goyal, Mengyu Xu, Jayanta Kapat, Ladislav Vesely
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T09A004, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59082
https://doi.org/10.1115/GT2021-59082
View Paper titled, Prediction Enhancement of Machine Learning Using Time Series Modeling in Gas Turbines
Open the PDF for Prediction Enhancement of Machine Learning Using Time Series Modeling in Gas Turbines in another window
Topics: Blades, Combustion, Combustion systems, Cooling systems, Flow (Dynamics), Fuels, Gas turbines, Machine learning, Modeling, Power stations
Proceedings Papers

Prediction of Gas Turbine Performance Using Machine Learning Methods

Vipul Goyal, Mengyu Xu, Jayanta Kapat, Ladislav Vesely
Proc. ASME. GT2020, Volume 6: Education; Electric Power, V006T09A004, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-15232
https://doi.org/10.1115/GT2020-15232
View Paper titled, Prediction of Gas Turbine Performance Using Machine Learning Methods
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Topics: Artificial neural networks, Gas turbines, Machine learning, Algorithms, Failure, Temperature, Blades, Flow (Dynamics), Fuels, Power stations
Proceedings Papers

Use of Vector Autoregressive Model for Anomaly Detection in Utility Gas Turbines

Vipul Goyal, Mengyu Xu, Jayanta Kapat
Proc. ASME. GT2019, Volume 3: Coal, Biomass, Hydrogen, and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration; Organic Rankine Cycle Power Systems, V003T08A004, June 17–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-90995
https://doi.org/10.1115/GT2019-90995
View Paper titled, Use of Vector Autoregressive Model for Anomaly Detection in Utility Gas Turbines
Open the PDF for Use of Vector Autoregressive Model for Anomaly Detection in Utility Gas Turbines in another window
Topics: Gas turbines, Time series, Combined cycles, Modeling, Power stations, Steam turbines, Turbines