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    基于神经网络和涡流检测的自然裂纹形状重构

    Natural Crack Profile Reconstruction Using Eddy Current Technique and Neural Network

    • 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。

       

      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 also discussed and the measures to overcome it were proposed.

       

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