ABSTRACT We develop a torque‐pitch control framework using deep reinforcement learning for wind turbines to optimize the generation of wind turbine energy while minimizing operational noise. We employ a double deep Q‐learning, coupled to a blade element momentum solver, to enable precise control over wind turbine parameters.
Martín Frutos+3 more
wiley +1 more source
Formulation of the two-dimensional transient heat-conduction problem for the bladed disk of a gas turbine [PDF]
E. E. Denisov+1 more
openalex +1 more source
Fiber reinforced superalloys for rocket engines [PDF]
High-pressure turbopumps for advanced reusable liquid-propellant rocket engines such as that for the Space Shuttle Main Engine (SSME) require turbine blade materials that operate under extreme conditions of temperature, hydrogen environment, high-cycle ...
Petrasek, Donald W., Stephens, Joseph R.
core +1 more source
Enhancing wind turbine blade damage detection with YOLO-Wind. [PDF]
Zhanfang Z, Tuo L.
europepmc +1 more source
Sustainable Hybrid Manufacturing of AlSi5 Alloy Turbine Blade Prototype by Robotic Direct Energy Layered Deposition and Subsequent Milling: An Alternative to Selective Laser Melting? [PDF]
Dugar J+3 more
europepmc +1 more source
ABSTRACT The conventional Savonius wind turbine's power coefficient is comparatively low, which limits its efficiency. Because the power coefficient depends significantly on the blade design, this study investigates the potential of improving the turbine performance by modifying the rotor blade designs.
Shihab Shahriare+2 more
wiley +1 more source
Vibration and Strength of Turbine Blade. VII Reviewing the Foregoing Notes
Akimasa ONO
openalex +2 more sources
Closure to “Discussion of ‘Calculation of Temperature Distribution in Multistage Axial Gas Turbine Rotor Assemblies When Blades are Uncooled’” (1974, ASME J. Eng. Power, 96, p. 320) [PDF]
D. M. Evans
openalex +1 more source
A novel edge crop method and enhanced YOLOv5 for efficient wind turbine blade damage detection. [PDF]
Feng B+5 more
europepmc +1 more source
The Springer Model for Lifetime Prediction of Wind Turbine Blade Leading Edge Protection Systems: A Review and Sensitivity Study. [PDF]
Hoksbergen N, Akkerman R, Baran I.
europepmc +1 more source