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

基于引力搜索算法的漏磁缺陷重构
引用本文: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(7):97-102.
作者姓名:韩文花  王建  汪胜兵  吴正阳  王平
作者单位:1. 上海电力学院自动化工程学院,上海,200090;2. 南京航空航天大学自动化学院,南京,210016
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(14110500700)
摘    要:缺陷重构,即从漏磁信号反演出铁磁性材料的缺陷轮廓或几何参数,是漏磁无损评估中的一个重要研究方向。针对缺陷漏磁信号特征及缺陷轮廓特征的复杂性,提出基于引力搜索算法的漏磁缺陷重构方法。依据磁偶极子模型理论分析提取实测漏磁信号有效信息段,径向基函数神经网络作为前向模型,引力搜索算法作为迭代算法,利用其在高维解空间中避免陷入局部最优的能力,得到最优缺陷轮廓,实现缺陷重构。仿真和实验结果表明,基于引力搜索算法的缺陷重构方法能提高重构精度和效率,具有较高的实用价值。

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

Defect Reconstruction from Magnetic Flux Leakage Signals Based on Gravitational Search Algorithm
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.
Keywords:ferromagnetic material  magnetic flux leakage inspection  defect reconstruction  magnetic dipole model  gravitational search algorithm
本文献已被 CNKI 万方数据 等数据库收录!
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