1-3 of 3
Masayuki Sato
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

Prediction of Steam Turbine Blade Erosion Using Computational Fluid Dynamics Simulation Data and Hierarchical Machine Learning

Issei Fukamizu, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. November 2024, 146(11): 111008.
Paper No: GTP-23-1519
https://doi.org/10.1115/1.4065815
Published Online: July 20, 2024
View Article titled, Prediction of Steam Turbine Blade Erosion Using Computational Fluid Dynamics Simulation Data and Hierarchical Machine Learning
Open the PDF for Prediction of Steam Turbine Blade Erosion Using Computational Fluid Dynamics Simulation Data and Hierarchical Machine Learning in another window
Topics: Blades, Erosion, Simulation, Turbines, Pressure, Machine learning
Journal Articles

Detection of Machinery Failure Signs From Big Time-Series Data Obtained by Flow Simulation of Intermediate-Pressure Steam Turbines

Kazuhiko Komatsu, Hironori Miyazawa, Cheng Yiran, Masayuki Sato, Takashi Furusawa, Satoru Yamamoto, Hiroaki Kobayashi
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. January 2022, 144(1): 011007.
Paper No: GTP-21-1364
https://doi.org/10.1115/1.4052142
Published Online: October 13, 2021
View Article titled, Detection of Machinery Failure Signs From Big Time-Series Data Obtained by Flow Simulation of Intermediate-Pressure Steam Turbines
Open the PDF for Detection of Machinery Failure Signs From Big Time-Series Data Obtained by Flow Simulation of Intermediate-Pressure Steam Turbines in another window
Topics: Blades, Computer simulation, Failure, Flow (Dynamics), Machinery, Pressure, Rotors, Stators, Steam turbines, Time series
Proceedings Papers

Detection of Machinery Failure Signs From Big Time-Series Data Obtained by Flow Simulation of Intermediate-Pressure Steam Turbines

Kazuhiko Komatsu, Hironori Miyazawa, Cheng Yiran, Masayuki Sato, Takashi Furusawa, Satoru Yamamoto, Hiroaki Kobayashi
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T09A002, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-58698
https://doi.org/10.1115/GT2021-58698
View Paper titled, Detection of Machinery Failure Signs From Big Time-Series Data Obtained by Flow Simulation of Intermediate-Pressure Steam Turbines
Open the PDF for Detection of Machinery Failure Signs From Big Time-Series Data Obtained by Flow Simulation of Intermediate-Pressure Steam Turbines in another window
Topics: Failure, Flow simulation, Machinery, Pressure, Steam turbines, Time series