Forward Modeling of Cracks Detection for RFEC Inspection
Because of the poor prior knowledge and constraints, the quantitative inspection of pipeline cracks was an ill-posed problem in Remote Field Eddy Current Inspection. Some significant correlations between the cracks and the features of the magnetic field signals had been discovered through adequate Finite Element simulations on the axisymmetric defects of the pipeline here. Based on the correlations above, two forward models, which can quantitatively map the defects size to the features of the magnetic field signals, were proposed. By contrast, the model based on Back-Propagation Neural Networks had better approximation accuracy and generalization ability. It seems to be an effective reference to the quantitative inverse of the pipeline defects.
remote field eddy current cracks forward modeling quantitative inspection.
Ao Yongcai Shi Yibing Wang Zhigang
School of Automation Engineering,University of Electronic Science and Technique of China,Chengdu 611731,China
国际会议
2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)
成都
英文
1290-1295
2011-08-16(万方平台首次上网日期,不代表论文的发表时间)