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基于改进PSO算法的LS-SVM对管道超声导波缺陷的二维轮廓重构

杜云朋 王建斌 张轩硕 钱苏敏

杜云朋, 王建斌, 张轩硕, 钱苏敏. 基于改进PSO算法的LS-SVM对管道超声导波缺陷的二维轮廓重构[J]. 机械科学与技术, 2014, 33(9): 1350-1353. doi: 10.13433/j.cnki.1003-8728.2014.0914
引用本文: 杜云朋, 王建斌, 张轩硕, 钱苏敏. 基于改进PSO算法的LS-SVM对管道超声导波缺陷的二维轮廓重构[J]. 机械科学与技术, 2014, 33(9): 1350-1353. doi: 10.13433/j.cnki.1003-8728.2014.0914
Du Yunpeng, Wang Jianbin, Zhang Xuanshuo, Qian Sumin. 2D Profile Reconstruction of Defect in Pipe Ultrasonic Guided Wave Based on LS-SVM with Improved PSO Algorithms[J]. Mechanical Science and Technology for Aerospace Engineering, 2014, 33(9): 1350-1353. doi: 10.13433/j.cnki.1003-8728.2014.0914
Citation: Du Yunpeng, Wang Jianbin, Zhang Xuanshuo, Qian Sumin. 2D Profile Reconstruction of Defect in Pipe Ultrasonic Guided Wave Based on LS-SVM with Improved PSO Algorithms[J]. Mechanical Science and Technology for Aerospace Engineering, 2014, 33(9): 1350-1353. doi: 10.13433/j.cnki.1003-8728.2014.0914

基于改进PSO算法的LS-SVM对管道超声导波缺陷的二维轮廓重构

doi: 10.13433/j.cnki.1003-8728.2014.0914
详细信息
    作者简介:

    杜云朋(1989-),硕士研究生,研究方向为嵌入式系统与应用,超声检测,dyp123518@126.com;王建斌(联系人),副教授,wjbjxxy@126.com

    杜云朋(1989-),硕士研究生,研究方向为嵌入式系统与应用,超声检测,dyp123518@126.com;王建斌(联系人),副教授,wjbjxxy@126.com

2D Profile Reconstruction of Defect in Pipe Ultrasonic Guided Wave Based on LS-SVM with Improved PSO Algorithms

  • 摘要: 针对目前超声导波管道检测中缺陷成像研究较少现状,提出了一种基于改进PSO算法的LSSVM的缺陷二维轮廓重构方法。利用试验和有限元软件,获得不同尺度缺陷的回波信号。采用最小二乘网络学习方法,以回波信号数据为输入,二维轮廓数据为输出,建立非线性映射,实现了管道缺陷轴向宽度和径向深度的二维轮廓重构,并与径向基神经网络算法重构结果和一般PSO算法的LS-SVM算法进程进行对比。结果表明:该方法具有更强的泛化能力,是缺陷可视化检测的参考方法。
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  • 收稿日期:  2013-01-07

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