基于倾斜关联筛选的船舶分区消磁绕组部署及消磁电流优化策略
Degaussing Coil Deployment and Degaussing Current Optimization Strategy for Ship Partition Based on Tilted Correlation Screening
田野 1余墨多 1黄文焘 1邰能灵 1牛璐2
作者信息
- 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○八研究所,上海 200011
- 折叠
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.
Abstract
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Key words
ship degaussing/tilted correlation screening/least square method/partial ridge regression/section partition引用本文复制引用
出版年
2024
NETL
NSTL
万方数据