首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种改进的船舶极短期运动预报精度分析方法
引用本文:徐东昊,杨柳,曾骥.一种改进的船舶极短期运动预报精度分析方法[J].船舶工程,2017,39(9):40-43.
作者姓名:徐东昊  杨柳  曾骥
作者单位:哈尔滨理工大学自动化学院,哈尔滨,150080;上海海事大学海洋科学与工程学院,上海201306;哈尔滨工程大学青岛船舶科技有限公司,山东青岛266400
基金项目:黄岛区科技局自主创新重大专项支持(编号:2015-1-6)
摘    要:针对目前船舶极短期运动预报中以真实值与各理论预报算法的均方差最小来确定最优预报算法可能导致真正的最优算法被排除的情况,采用波形匹配和仿射变换提出一种改进的精度分析方法,用于船舶极短期运动预报的最优算法确定。该方法首先识别预报信号的周期和波数等关键波形参数,通过仿射变换为一个与真实信号同周期同相位的新信号,进而计算船舶运动时间序列间真实值与新信号的均方差,从而确定船舶极短期运动预报的最优算法。实际应用表明,该方法可以更合理地确定船舶极短期运动预报的最优算法。

关 键 词:船舶运动  极短期预报  最小均方差  波形匹配  仿射变换
收稿时间:2017/7/10 0:00:00
修稿时间:2017/9/21 0:00:00

An Improved Accuracy Analytical Approach for Very-short Term Prediction of Ship Motions in Seaway
XU Dong-hao,YANG Liu and.An Improved Accuracy Analytical Approach for Very-short Term Prediction of Ship Motions in Seaway[J].Ship Engineering,2017,39(9):40-43.
Authors:XU Dong-hao  YANG Liu and
Institution:School of Automation,Harbin University of Science and Technology,School of Automation,Harbin University of Science and Technology,School of Ocean Science and Engineering,Shanghai Maritime University
Abstract:To determine the best prediction method for very-short term prediction of ship motions in a specific condition, the accuracies of the candidate methods are usually evaluated by comparing their standard deviations. However, this method may exclude the best one "de facto" in some cases. In this paper, a method is proposed for the determination by matching the waveform of the predicted signal and through affine transformation. The major characteristics such the period and the wave numbers of a predicted signal are identified, then the qualified predictions are converted via affine transformation to one with the same period and same phase angle with the actual signal. Finally the best prediction method is then determined by comparing the standard deviations. A validation case shows that the proposed method is able to more reasonably determine the best method for very-short term prediction of ship motions.
Keywords:Ship motions  very-short term prediction  standard deviation  waveform matching  affine transformation  
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《船舶工程》浏览原始摘要信息
点击此处可从《船舶工程》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号