Defect Quantitative Recognition Technology of Circumferential Magnetic Flux Leakage Inspection in Pipeline

摘要：

Through analysis of magnetic leakage field of circumferential magnetic flux leakage (MFL) inspection in pipeline, the peak-peak amplitude and the peak spacing of the radial MFL signal, the peak-peak amplitude and of the circumferential MFL signal, and the peak spacing of differential signal of the circumferential MFL signal are selected as the MFL signal features. The relationships between the defect geometry parameters(depth, width and length) and the MFL signal features are researched by simulation. By adopting the multiple linear regression theory, the regression equationes are established between the defect geometry parameters and the MFL signal features to implement the quantitative identification of the defect geometry parameters.

关键词： pipeline MFL inspection circumferential MFL multiple linear regression quantitative identification

作者: Zhang Guoguang

作者单位: School of Information Engineering Shenyang University Of Chemical Technology, SYUCT Shenyang, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 311-314

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）