摘要
漏磁检测技术是目前最有效、应用最广泛的管道无损检测技术之一。缺陷重构方法是漏磁检测的关键核心技术,直接决定检测精度。现有缺陷重构方法主要采用静态模型对缺陷尺寸进行重构,没有考虑内检测器采样时移动对信号的影响,且不能有效体现速度因素对缺陷重构的影响。基于匀速采样模型设计迭代反演方法,使模型更符合实际的采样过程,并在模型中考虑了速度产生的影响;通过空间映射方法,将匀速采样产生的多个有限元模型转化为用磁偶极子模型为基础表示的解析模型,解决了匀速采样模型难以设计迭代方法的问题;通过设计基于正则化方法的迭代策略,给出了缺陷重构的算法。最后通过实验数据验证了算法的有效性。
Magnetic flux leakage（ MFL） inspection is one of the most efficient and widely used techniques for nondestructive testing of pipeline. Reconstruction of the depth profile of defects is the key issue for MFL inspection,which directly determines the accuracy of inspection. Current defect reconstruction methods mainly adopt the static model to reconstruct the defect size,without considering the influence of inspector movement,and cannot effectively reflect the impact of speed on the defect reconstruction. In this paper,an iterative inversion method is designed based on constant velocity sampling model to make the model more consistent with the actual sampling process,and the influence of velocity is considered in the model. By employing the space mapping（ SM） methodology,the finite element method（ FEM） simulation for this model is converted into a dipole theory based model which solves the problem that it＇s hard to design reconstruction method. A regularization optimization is implemented to reconstruct the depth profile by optimizing the parameters of analytical model. The efficiency of the proposed reconstruction technique is tested under inspection data which shows good agreement between reference defect parameters and estimated results.
作者
吴振宁
汪力行
刘金海
Wu Zhenning;Wang Lixing;Liu Jinhai(College of Information Science and Engineering,Northeastern University,Shenyang 110819,China;College of Computer Science and Engineering,Northeastern University,Shenyang 110819,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2018年第7期164-172,共9页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金青年基金(61703087,71502029)
国家仪器仪表重大专项(61627809)资助
关键词
管道安全检测
故障诊断
漏磁检测
缺陷重构
空间映射
pipeline inspection
fault diagnosis
magnetic flux leakage （MFL）
defect reconstruction
space mapping
