Method for predicting depth-averaged current velocities of underwater gliders based on data feature analysis
文献类型:期刊论文
作者 | Zhou YJ(周耀鉴)2; Liu SJ(刘世杰)3,4; Zhang YL(章永来)2; Tian, Baoqiang1 |
刊名 | AIP ADVANCES |
出版日期 | 2021 |
卷号 | 11期号:7页码:1-7 |
ISSN号 | 2158-3226 |
产权排序 | 2 |
英文摘要 | In this paper, the data feature of depth-averaged current velocities (DACVs) derived from underwater gliders is analyzed for the first time. Two features of DACVs have been proposed: one is the complex ingredients and small samples, and the other is the stationarity that occurs as the length of a DACV sequence increases. With these features in mind, a set of methods combining statistical analysis and machine learning are proposed to realize the prediction of DACVs. Four groups of DACV data of different gliders from sea trials in the South China Sea are used to verify the prediction method. Based on three general error criteria, the prediction performance of the proposed model is demonstrated. The persistence method is used as a comparison model. The results show that the prediction methods proposed in this paper are effective. |
语种 | 英语 |
WOS记录号 | WOS:000668679400001 |
资助机构 | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [U1709202, 51809127] ; Natural Science Foundation of Shanxi Province, ChinaNatural Science Foundation of Shanxi Province [201901D211248] ; Natural Science Foundation of State Key Laboratory of Robotics [2019-O10] |
源URL | [http://ir.sia.cn/handle/173321/29311] |
专题 | 海洋机器人卓越创新中心 |
通讯作者 | Liu SJ(刘世杰) |
作者单位 | 1.School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China 2.Software School, North University of China, Taiyuan 030051, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 4.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110169, People’s Republic of China |
推荐引用方式 GB/T 7714 | Zhou YJ,Liu SJ,Zhang YL,et al. Method for predicting depth-averaged current velocities of underwater gliders based on data feature analysis[J]. AIP ADVANCES,2021,11(7):1-7. |
APA | Zhou YJ,Liu SJ,Zhang YL,&Tian, Baoqiang.(2021).Method for predicting depth-averaged current velocities of underwater gliders based on data feature analysis.AIP ADVANCES,11(7),1-7. |
MLA | Zhou YJ,et al."Method for predicting depth-averaged current velocities of underwater gliders based on data feature analysis".AIP ADVANCES 11.7(2021):1-7. |
入库方式: OAI收割
来源:沈阳自动化研究所
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