摘要
基于大数据对海上风电风机环境腐蚀性分析,旨在探究海洋环境因素对风电风机腐蚀行为的影响。通过收集和分析海上风电风机的腐蚀电流数据及环境参数,结合斯皮尔曼相关性分析等方法,对数据进行深入挖掘和分析。结果显示,环境湿度与风机腐蚀速率之间存在显著的正相关关系,表明湿度是影响腐蚀速率的关键因素。此外,腐蚀过程呈现出明显的阶梯性变化,这与腐蚀产物的物相组成及其变化密切相关。为海上风电风机的腐蚀防护提供了重要的数据支持和理论依据,为风机的材料选择、结构设计以及腐蚀防护措施的优化提供了新的视角和科学依据,对于推动海上风电技术的可持续发展具有重要意义。
Big data analytics to examine the environmental corrosivity of offshore wind turbines is employed,aiming to explore the impact of marine environmental factors on the corrosion behavior of wind turbines.By collecting and analyzing the corrosion current data of offshore wind turbines and various environmental parameters,the study utilizes methods such as Spearman's correlation analysis for an in-depth examination and analysis of the data.The findings reveal a significant positive correlation between environmental humidity and the rate of corrosion in wind turbines,highlighting humidity as a key factor influencing corrosion rates.Additionally,the corrosion process exhibits a distinct stepwise change,closely related to the phase composition of corrosion products and their transformations.The research provides vital data support and theoretical basis for the corrosion protection of offshore wind turbines.It offers new perspectives and scientific grounds for optimizing the material selection,structural design,and corrosion protection measures for wind turbines,which is crucial for the sustainable development of offshore wind power technology.
作者
马士东
姚法仍
刘其常
王继衍
赵文胜
MA Shidong;YAO Fareng;LIU Qichang;WANG Jiyan;ZHAO Wensheng(Guangdong Huadian Fuxin Yangjiang Offshore Wind Power Co.,Ltd.,Yangjiang 202402,Guangdong,China)
出处
《船舶工程》
CSCD
北大核心
2024年第S01期123-127,183,共6页
Ship Engineering
关键词
海上风电
大数据
海洋大气
腐蚀
offshore wind power
big data
marine atmosphere
corrosion
