...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>NDT & E international >An adaptive-network-based fuzzy inference system for classification of welding defects
【24h】

An adaptive-network-based fuzzy inference system for classification of welding defects

机译：基于自适应网络的焊接缺陷分类模糊推理系统

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, we describe an adaptive-network-based fuzzy inference system to recognise welding defects in radiographic images. In a first stage, image processing techniques, including noise reduction, contrast enhancement, thresholding and labelling, were implemented to help in the recognition of weld regions and the detection of weld defects. In a second stage, a set of 12 geometrical features which characterise the defect shape and orientation was proposed and extracted between defect candidates. In a third stage, an adaptive-network-based fuzzy inference system (ANFIS) for weld defect classification was used. With the aim of obtaining the best performance to automate the process of the classification of defects, of all possible combinations without repetition of the 12 features chosen, four were used as input for the ANFIS. The results were compared with the aim to know the features that allow the best classification. The correlation coefficients were determined obtaining a minimum value of 0.84. The accuracy or the proportion of the total number of predictions that were correct was determined obtaining a value of 82.6%.
机译：在本文中，我们描述了一种基于自适应网络的模糊推理系统，用于识别射线照相图像中的焊接缺陷。在第一阶段，实施了图像处理技术，包括降噪，对比度增强，阈值处理和标记，以帮助识别焊接区域和检测焊接缺陷。在第二阶段中，提出了一组12个表征缺陷形状和方向的几何特征，并在候选缺陷之间进行提取。在第三阶段，使用基于自适应网络的模糊推理系统（ANFIS）进行焊接缺陷分类。为了获得最佳性能以自动进行缺陷分类过程，在所有可能的组合中而不重复选择的12个特征，将四个作为ANFIS的输入。将结果与旨在了解可实现最佳分类的功能进行比较。确定相关系数以获得最小值0.84。确定正确的预测的准确性或比例总数，得到的值为82.6％。

著录项

  • 来源
    《NDT & E international》 |2010年第3期|191-199|共9页
  • 作者

    Juan Zapata; Rafael Vilar; Ramon Ruiz;

  • 作者单位

    Departamento de Electronica, Tecnologia de Computadoras y Proyectos, Spain Universidad Politecnica de Cartagena, Antiguo Cuartel de Antigones. Plaza del Hospital 1, 30202 Cartagena, Spain;

    Departamento de Estructuras y Construction, Spain Universidad Politecnica de Cartagena, Antiguo Cuartel de Antigones. Plaza del Hospital 1, 30202 Cartagena, Spain;

    Departamento de Electronica, Tecnologia de Computadoras y Proyectos, Spain Universidad Politecnica de Cartagena, Antiguo Cuartel de Antigones. Plaza del Hospital 1, 30202 Cartagena, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    weldment; x-rays; image processing; fuzzy systems; automated inspection;

    机译：焊件X射线图像处理;模糊系统;自动检查;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号