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作 者:田野 余墨多 黄文焘[1] 邰能灵[1] 牛璐 TIAN Ye;YU Moduo;HUANG Wentao;TAI Nengling;NIU Lu(School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;Marine Design and Research Institute of China,Shanghai 200011,China)
机构地区:[1]上海交通大学电子信息与电气工程学院,上海200240 [2]中国船舶工业公司第七〇八研究所,上海200011
出 处:《上海交通大学学报》2024年第7期1018-1026,共9页Journal of Shanghai Jiaotong University
摘 要:在现代舰船消磁系统中,消磁绕组主要基于舰船舱壁的形状进行分布,难以保证每个消磁绕组的消磁效果.为解决这一问题,引入一种高维变量筛选中的倾斜关联筛选方法,选择合适的阈值,将原有绕组进行拆分重组,对原有消磁区段进行重新划分,进而改善每个绕组的单位绕组磁感应强度.针对绕组重组后消磁电流计算时存在的参数向量稀疏和多重共线的问题,提出了倾斜关联筛选-部分岭回归算法,通过仿真可知,在阈值为0.73和0.91时,该算法相较最小二乘法消磁误差最大幅值分别减小了10.08%和17.59%,而剩余均方根误差分别减小了10.45%和12.17%.根据仿真结果可知,采用该算法后消磁效果得到明显提升.In modern ship degaussing systems,degaussing windings are mainly distributed based on the shape of ship bulkhead,which is difficult to ensure the degaussing effect of magnetic induction intensity of unit winding of each degaussing winding.In order to solve this problem,this paper introduces a tilted correlation screening in high-dimensional variable filter,which splits and recombines the original coils,and re-divides the original degaussing sections,so as to improve the degaussing efficiency of each coil.Aiming at the problem of sparse parameter vectors and multiple collinearity in the calculation of degaussing current after winding restructuring,this paper proposes a slant correlation screening and partial ridge regression algorithm.Through simulation,when the threshold is 0.73 and 0.91,the algorithm reduces 10.08%and 17.59%respectively compared with the least square method,while the residual root mean square error decreases by 10.45%and 12.17%.The simulation results show that the degaussing effect is significantly improved after the algorithm is adopted.
关 键 词:船舶消磁 倾斜关联筛选 最小二乘法 部分岭回归 区段划分
分 类 号:U665.18[交通运输工程—船舶及航道工程]
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