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Updated: Jan 16, 2026

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
09:17

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods

Published on: April 23, 2018

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通过使用CNN-Autoencoder模型的被动流量控制装置在水平轴风力轮机上进行流场预测的方法

Hamed Sedighi1,2, Ahmad Abbaskhah3, Pooria Akbarzadeh4,5

  • 1School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China. hamed_sedighi@bit.edu.cn.

Scientific reports
|September 26, 2025
PubMed
概括

这项研究在水平轴风力轮机 (HAWT) 叶片上引入了球形,以使用卷积神经网络自动编码器 (CNN-AEs) 预测空气流模式. 这些模型准确地估计了压力和速度,优化了有限数据场景的参数.

关键词:
自动编码器自动编码器卷积神经网络是一种卷积神经网络.流量控制器的流量控制器水平轴风力轮机的水平轴风力轮机

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