| 基于神经网络和涡流检测的自然裂纹形状重构 |
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| 引用本文： | 张思全,陈铁群,刘桂雄,杨何发. 基于神经网络和涡流检测的自然裂纹形状重构[J]. 无损检测, 2008, 30(5): 280-284 |
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| 作者姓名： | 张思全 陈铁群 刘桂雄 杨何发 |
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| 作者单位： | 1. 华南理工大学机械工程学院,广州,510640
2. 广州民航职业技术学院,广州,510403 |
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| 摘 要： | 基于涡流检测的裂纹形状重构在压力容器和热交换管道等关键设备结构的无损评价中越来越重要。从裂纹产生机理出发,对裂纹进行了分类并分析了自然裂纹与人工裂纹的区别。采用神经网络方法对自然裂纹形状进行了重构。重构结果表明该方法具有快速、精确的优点。同时讨论了该方法的不足并提出了解决思路。
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| 关 键 词： | 人工神经网络 涡流检测 自然裂纹 形状重构 |
| 文章编号： | 1000-6656(2008)05-0280-05 |
| 修稿时间： | 2007-04-16 |
Natural Crack Profile Reconstruction Using Eddy Current Technique and Neural Network |
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| ZHANG Si-Quan,CHEN Tie-Qun,LIU Gui-Xiong,YANG He-Fa. Natural Crack Profile Reconstruction Using Eddy Current Technique and Neural Network[J]. Nondestructive Testing, 2008, 30(5): 280-284 |
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| Authors: | ZHANG Si-Quan CHEN Tie-Qun LIU Gui-Xiong YANG He-Fa |
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| Affiliation: | 12(1. School of Mechanical Engineering; South China University of Technology; Guangzhou 510640; China; 2. Guangzhou Civil Aviation College; Guangzhou 510403; China); |
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| Abstract: | The reconstruction of crack profiles is getting more and more important in the NDE of structures such as pressure vessel, tubes in heat exchanges. Based on the different generation mechanisms, the cracks were classified and the differences between artificial and natural cracks were analyzed. The crack profiles were reconstructed based on artificial neural network and the reconstructed results validated the method being having many advantages, such as high speed and precision. The drawback of this method was... |
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| Keywords: | Artificial neural network Eddy current testing Natural crack Profile reconstruction |
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