火力与指挥控制2016，Vol.41Issue(6)：15-18,4.
基于改进人工蜂群算法的漏磁缺陷轮廓重构
Profiles Reconstruction of Magnetic Flux Leakage Based on Improved Artificial Bee Colony Algorithm
摘要
Abstract
The reconstruction of magnetic flux leakage (MFL) defect profiles means the reconstruction of defect profiles and parameters from MFL inspection signals. It is the key for the inversion of MFL inspection signals. The local optimal solution and the global optimal solution have been introduced into the artificial bee colony algorithm,and a kind of defect reconstruction model based on improved artificial bee colony algorithm is proposed. In the model,radial-basis function neural network is utilized as forward model,and the improved artificial bee colony algorithm is used to solve the optimization problem in the inverse problem. The comparison between basic artificial bee colony algorithm and proposed improved artificial bee colony algorithm which indicate that the proposed method has high accuracy and robustness against the real measure signals,and it is an effective and feasible approach for solving inverse problems.关键词
人工蜂群算法/漏磁信号/缺陷轮廓Key words
artificial bee colony algorithm/magnetic flux leakage signal/defect profile分类
计算机与自动化引用本文复制引用
韩文花,汪胜兵,王建,吴正阳,王平..基于改进人工蜂群算法的漏磁缺陷轮廓重构[J].火力与指挥控制,2016,41(6):15-18,4.基金项目
国家自然科学基金（51107080，61304134，61503237）；上海市电站自动化技术重点实验室（13DZ2273800）；上海市重点科技攻关计划项目 （）
