电测与仪表2016，Vol.53Issue(22)：12-15,43,5.
基于随机森林的风机状态监测数据可视化研究
Data visualization research on monitoring data of wind turbines based on random forest
摘要
Abstract
The current monitoring data visualization of wind turbines suffers from poor interactivity and less intuitive -ness.In this paper, a visualization technology based on random forest is proposed .Firstly, the random forest was used for similarity measurement on monitoring data , which enhanced the separability in the new feature space .Then , the principal component analysis (PCA) is adopted to reduce the dimension , through which the relationship of the multi-dimensional data information is transformed into low dimensional space for human visual perception .Finally, the data in low dimensional space using a scatter diagram and parallel coordinates figure is displayed .The experimental results shows that the condition monitoring data of wind turbines processed with the random forest , has a good visual effect and it ' s easy for the wind turbines manager to figure out the data characteristics , distribution , development trend and the relationship between attributes on the whole grasp .It' s of great significance to improve the running reliability of wind turbines .关键词
电力大数据/随机森林/风机状态监测/可视化/平行坐标Key words
electric power big data/random forest/monitoring state of wind turbines/visualization/parallel coordi-nates分类
信息技术与安全科学引用本文复制引用
郭晓利,温延立..基于随机森林的风机状态监测数据可视化研究[J].电测与仪表,2016,53(22):12-15,43,5.基金项目
吉林省重点科技成果转化项目(20150307020GX) （20150307020GX）
吉林省科技厅重点攻关项目(20150204084GX) （20150204084GX）
