Robotics & Machine Learning Daily News2024,Issue(Jun.27) :80-81.

Data on Machine Learning Described by Researchers at Harbin Engineering Universi ty (Predicting Propeller Emergence Severity In Adverse Sea Conditions: an Integr ated Approach Using Stacked Machine Learning Models)

哈尔滨工程大学研究人员描述的机器学习数据(预测恶劣海况下螺旋桨出水严重程度:使用堆叠式机器学习模型的改进方法)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :80-81.

Data on Machine Learning Described by Researchers at Harbin Engineering Universi ty (Predicting Propeller Emergence Severity In Adverse Sea Conditions: an Integr ated Approach Using Stacked Machine Learning Models)

哈尔滨工程大学研究人员描述的机器学习数据(预测恶劣海况下螺旋桨出水严重程度:使用堆叠式机器学习模型的改进方法)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新华社哈尔滨消息报道,“在恶劣的海况下,螺旋桨下沉深度的变化会引起通风和水效应,这些效应导致螺旋桨扭矩和推力损失,影响船舶电网的可靠性,加速推进轴系的磨损。”本研究的资助单位包括国家自然科学基金(NSFC)、工业和信息技术部高技术船舶研究项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Harbin, People’s Repub lic of China, by NewsRx correspondents, research stated, “In adverse sea conditi ons, variations in the propeller submergence depth can induce ventilation and ou t-ofwater effects. These effects result in propeller-torque and thrust losses, impacting the shipboard power network ‘ s reliability and accelerate wear on pro pulsion shaft system.” Funders for this research include National Natural Science Foundation of China ( NSFC), High-tech Ship Research Program of the Ministry of Industry and Informati on Technology of China.

Key words

Harbin/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Harbin Engineering Universit y

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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