| 基于自适应遗传算法的LS—SVM漏磁缺陷重构 |
| |
| 引用本文： | 王瑾,王长龙,纪凤珠,徐毅成.基于自适应遗传算法的LS—SVM漏磁缺陷重构[J].军械工程学院学报,2010,22(2):27-29,35. |
| |
| 作者姓名： | 王瑾 王长龙 纪凤珠 徐毅成 |
| |
| 作者单位： | [1]上海交通大学电子工程系,上海200240 [2]军械工程学院电气工程系,河北石家庄050003 |
| |
| 摘 要： | 提出基于自适应遗传算法的最小二乘支持向量机算法（AGA-LS-SVM）的新方法，用于二维缺陷重构，建立由缺陷的漏磁信号到缺陷二维轮廓的映射关系。该方法实现人工裂纹缺陷的二维轮廓的重构，试验结果表明，该方法具有速度快、精度高和很好的泛化能力，为漏磁检测定量化提供了一种可行的方法。
|
| 关 键 词： | 漏磁检测 自适应遗传算法 最小二乘支持向量机 二维轮廓 缺陷 重构 |
Defect Reconstruction from Magnetic Flux Leakage Signals Based on AGA-LS-SVM |
| |
| WANG Jin,WANG Chang-long,JI Feng-zhu,XU Yi-cheng.Defect Reconstruction from Magnetic Flux Leakage Signals Based on AGA-LS-SVM[J].Journal of Ordnance Engineering College,2010,22(2):27-29,35. |
| |
| Authors: | WANG Jin WANG Chang-long JI Feng-zhu XU Yi-cheng |
| |
| Institution: | 1. Department of Electronics Engineering, Shanghai JiaoTong University, Shanghai 200240, China ; 2. Department of Electrical Engineering, Ordnance Engineering College, Shijiazhuang 050003, China) |
| |
| Abstract: | A new method for the reconstruction of 2-D profiles is presented based on the adaptive genetic algorithm and the least squares support vector machines technique （AGA-LS-SVM） and the mapping relationship from MFL signals to 2-D profiles of defects is established. The reconstruction of 2-D profiles of artificial crack defects in the magnetic flux leakage testing is implemented by this algorithm. The results show that LS-SVM possesses quick speed, high accuracy and very good generalization ability and it is a good way for the quantification of the MFL testing. |
| |
| Keywords: | magnetic flux leakage testing AGA LS-SVM 2-D profiles defect reconstruction |
| 本文献已被 维普 等数据库收录！ |
