江苏大学主页平台管理系统王龙滟--中文主页--论文成果

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王龙滟

学位：博士
性别：男
学历：博士研究生毕业
在职信息：在本单位任职
所在单位：流体机械工程技术研究中心

论文成果

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王龙滟. Mesh-based data-driven approach for optimization of tidal turbine blade shape
王龙滟. Deep reinforcement learning-based adaptive yaw control for wind farms in fluctuating winds
王龙滟. Advanced wake modeling in wind farm: A physics-informed framework with virtual LiDAR measurements
王龙滟. Innovative sparse data reconstruction approaches for yawed wind turbine wake flow via data-driven...
王龙滟. Super-resolution reconstruction framework of wind turbine wake: Design and application
王龙滟. Intelligent fault diagnosis for wind turbine main bearings through multi-source signal fusion and...
王龙滟. TurbineNet: Advancing tidal turbine blade hydrodynamic performance prediction with neural network...
王龙滟. Transfer learning-enhanced fault diagnosis for wind turbine main bearings under diverse wind farm...
王龙滟. Enhanced Diagnosis of Wind Turbine Main Bearing Faults Through Fusion of Multi-source Signals wit...
王龙滟. Effectiveness of cooperative yaw control based on reinforcement learning for in-line multiple win...
王龙滟. Wind turbine dynamic wake flow estimation (DWFE) from sparse data via reduced-order modeling-base...
王龙滟. A deep learning framework for reconstructing experimental missing flow field of hydrofoil
王龙滟. A novel generative approach to the parametric design and multi-objective optimization of horizont...
王龙滟. Deep learning enhanced fluid-structure interaction analysis for composite tidal turbine blades
王龙滟. Effectiveness of wake control optimization for multiple in-line wind turbines by combinatorial ma...
王龙滟. A reduced order modeling-based machine learning approach for wind turbine wake flow estimation fr...

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个人信息

王龙滟

论文成果

王龙滟. Mesh-based data-driven approach for optimization of tidal turbine blade shape

王龙滟. Deep reinforcement learning-based adaptive yaw control for wind farms in fluctuating winds

王龙滟. Advanced wake modeling in wind farm: A physics-informed framework with virtual LiDAR measurements

王龙滟. Innovative sparse data reconstruction approaches for yawed wind turbine wake flow via data-driven...

王龙滟. Super-resolution reconstruction framework of wind turbine wake: Design and application

王龙滟. Intelligent fault diagnosis for wind turbine main bearings through multi-source signal fusion and...

王龙滟. TurbineNet: Advancing tidal turbine blade hydrodynamic performance prediction with neural network...

王龙滟. Transfer learning-enhanced fault diagnosis for wind turbine main bearings under diverse wind farm...

王龙滟. Enhanced Diagnosis of Wind Turbine Main Bearing Faults Through Fusion of Multi-source Signals wit...

王龙滟. Effectiveness of cooperative yaw control based on reinforcement learning for in-line multiple win...

王龙滟. Wind turbine dynamic wake flow estimation (DWFE) from sparse data via reduced-order modeling-base...

王龙滟. A deep learning framework for reconstructing experimental missing flow field of hydrofoil

王龙滟. A novel generative approach to the parametric design and multi-objective optimization of horizont...

王龙滟. Deep learning enhanced fluid-structure interaction analysis for composite tidal turbine blades

王龙滟. Effectiveness of wake control optimization for multiple in-line wind turbines by combinatorial ma...

王龙滟. A reduced order modeling-based machine learning approach for wind turbine wake flow estimation fr...