| 人机合作式管道漏磁信号分析与缺陷定量识别 |
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| 引用本文： | 杨涛,王太勇,蒋奇.人机合作式管道漏磁信号分析与缺陷定量识别[J].中国机械工程,2004,15(6):488-490. |
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| 作者姓名： | 杨涛 王太勇 蒋奇 |
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| 作者单位： | 1. 天津大学机械工程学院,天津,300072
2. 山东大学控制科学与工程学院,济南,250061 |
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| 基金项目： | 天津市自然科学基金资助项目 (993 80 2 411) |
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| 摘 要： | 采用替换、平滑、反差等方法改善缺陷的漏磁信号．并把漏磁信号转变成云图，由人定性识别出缺陷的位置；通过对管道漏磁信号的分析，选取了缺陷漏磁场的特征量，采用非线性方法实现缺陷的定量分析。试验证明，这种人机结合的方法提高了分析效率和定量分析精度。
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| 关 键 词： | 管道 信号分析 人机合作 定量识别 特征量 |
| 文章编号： | 1004-132X(2004)06-0488-03 |
Man-Computer Signal Analysis for Oil-gas Pipe Magnetic Flux Leakage(MFL) and Inspection of Pipe Pit |
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| Yang Tao Wang Taiyong Jiang Qi .Tianjin University,Tianjin, .Shandong University,Jinan.Man-Computer Signal Analysis for Oil-gas Pipe Magnetic Flux Leakage(MFL) and Inspection of Pipe Pit[J].China Mechanical Engineering,2004,15(6):488-490. |
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| Authors: | Yang Tao Wang Taiyong Jiang Qi Tianjin University Tianjin Shandong University Jinan |
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| Affiliation: | Yang Tao 1 Wang Taiyong 1 Jiang Qi 2 1.Tianjin University,Tianjin,300072 2.Shandong University,Jinan,250061 |
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| Abstract: | The paper present the methods of improving the signals of magnetic flux leakage for the pipes by means of replacing, smoothing and contrasting. The signals were transfered into the images and the places of the defects were confirmed by persons. The features were selected through analysing the signals of magnetic flux leakage. A nonlinear method was applied to complete quantitative recognition to defects. The experimental results show that the man-computer working method improves efficiency and precision. |
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| Keywords: | pipe signal analysis image processing quantitative recognition feature |
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