Robotics & Machine Learning Daily News2024,Issue(Nov.26) :65-66.

University of Stuttgart Researchers Yield New Study Findings on Machine Learning (Machine-learning-based virtual load sensors for mooring lines using simulated motion and lidar measurements)

斯图加特大学的研究人员在机器学习(基于机器学习的虚拟负载传感器,使用模拟运动和激光雷达测量)方面取得了新的研究成果

Robotics & Machine Learning Daily News2024,Issue(Nov.26) :65-66.

University of Stuttgart Researchers Yield New Study Findings on Machine Learning (Machine-learning-based virtual load sensors for mooring lines using simulated motion and lidar measurements)

斯图加特大学的研究人员在机器学习(基于机器学习的虚拟负载传感器,使用模拟运动和激光雷达测量)方面取得了新的研究成果

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑《每日新闻-人工智能新研究》是一篇新报道的主题。根据来自德国斯图加特的新闻报道,NewsRx编辑,研究称,“海上漂浮风”汽轮机(F OWT)配备各种传感器,为汽轮机监测提供有价值的数据。和控制。由于技术和操作方面的挑战,系泊缆和导缆索的载荷估算迅速获得AC可能是困难和昂贵的。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews reporting out of Stuttgart, Germany, by NewsRx editors, research stated, “Floating offshore windturbines (F OWTs) are equipped with various sensors that provide valuable data for turbine m onitoringand control. Due to technical and operational challenges, load estimat ions for mooring lines and fairleadscan be difficult and expensive to obtain ac curately.”

Key words

University of Stuttgart/Stuttgart/Germ any/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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