• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Infrared physics and technology >Automatic detection of defects on polyethylene pipe welding using thermal infrared imaging
【24h】

Automatic detection of defects on polyethylene pipe welding using thermal infrared imaging

机译：使用红外热成像自动检测聚乙烯管道焊接中的缺陷

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

Nowadays, polyethylene is the most widely used material in piping technology, the vital problem of which is the discrimination of possible flaws. Destructive and non-destructive strategies are possible error-detection methods, the second of which surpasses the former in both restoration and time complexity. Infrared technology can be introduced as one of the most powerful tools in non-destructive area showing acceptable results for detection of welding flaws in the polyethylene pipes. In this research, the infrared video sequences from the cooling step of the pipeline welding procedure were collected in Chahar-Mahal-O-Bakhtiari/Iran gas Company. The snapshot of an optimum moment of each sequence went under a preprocessing procedure and different clustering methods were applied to distinguish various errors and to classify them into most prevalent flaw groups. Choosing the best clustering algorithm by introducing proper coefficients, the proposed method could discriminate the occurred flaws, even better than destructive approaches.
机译：如今，聚乙烯是管道技术中使用最广泛的材料，其关键问题是辨别可能的缺陷。破坏性和非破坏性策略是可能的错误检测方法，在恢复和时间复杂度方面，第二种方法都优于前者。红外技术可以作为无损检测领域中最强大的工具之一，对检测聚乙烯管道中的焊接缺陷显示出可接受的结果。在这项研究中，来自管道焊接工艺冷却步骤的红外视频序列是在Chahar-Mahal-O-Bakhtiari /伊朗天然气公司收集的。每个序列的最佳时刻的快照都经过了预处理程序，并应用了不同的聚类方法来区分各种错误，并将其分类为最普遍的缺陷组。通过引入适当的系数来选择最佳的聚类算法，所提出的方法可以区分出现的缺陷，甚至比破坏性方法更好。

著录项

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