火力与指挥控制2016，Vol.41Issue(7)：97-102,6.
基于引力搜索算法的漏磁缺陷重构
Defect Reconstruction from Magnetic Flux Leakage Signals Based on Gravitational Search Algorithm
摘要
Abstract
Defect reconstruction,which is inversion of the defect profile or geometrical parameters of ferromagnetic material from magnetic flux leakage (MFL)signal,has been one crucial research of MFL nondestructive evaluation. For the complexity to obtain defect geometry feature,a new inversing approach based on gravitational search algorithm (GSA) is proposed. According to magnetic dipole modeling theoretical analysis,the effective information segment from the measured MFL signal,the radial-basis function neural network is utilized as forward model,and GSA is used as iterative algorithm because its avoiding falling into the local optimal solution in high dimensional space. The new approach can obtain the optimal defect profile to achieve defect reconstruction. Both the simulation results and the experiment ones show that the GSA-based defect reconstruction approach can improve the reconstructing accuracy and efficiency and has high practical value.关键词
铁磁性材料/漏磁检测/缺陷重构/磁偶极子模型/引力搜索算法Key words
ferromagnetic material/magnetic flux leakage inspection/defect reconstruction/magnetic dipole model/gravitational search algorithm分类
计算机与自动化引用本文复制引用
韩文花,王建,汪胜兵,吴正阳,王平..基于引力搜索算法的漏磁缺陷重构[J].火力与指挥控制,2016,41(7):97-102,6.基金项目
国家自然科学基金（51107080，61304134）；上海市电站自动化技术重点实验室基金（13DZ2273800）；上海市重点科技攻关计划基金资助项目 （）
